Forward Deployed Engineer
ONSITE
Brooklyn Heights, New York, United States
As a Forward Deployed Engineer working on the PLX project in the Information Technology industry, you will be responsible for delivering end-to-end deployment solutions. Your role involves collaborating closely with cross-functional teams to ensure that technical requirements are met while adhering to high-quality standards. You will contribute to impactful projects that enhance the customer experience and drive business success. Key Responsibilities - Own end-to-end development of features from conception to deployment, ensuring alignment with project goals. - Collaborate with product managers and designers to translate requirements into technical solutions, fostering a shared understanding among team members. - Write scalable, maintainable code while conducting thorough code reviews to promote best practices within the team. - Mentor junior developers and actively contribute to team knowledge sharing, enhancing overall team capabilities. - Participate in architectural discussions and propose technical improvements that elevate project outcomes. - Debug complex issues and optimize application performance to ensure a seamless user experience. - Stay current with industry trends and evaluate new technologies for potential adoption, ensuring the team remains at the forefront of innovation. Must-Haves
Read More
Agile Project Management
Business Process Mapping
CI/CD
Cloud Computing (AWS)
Data Analysis
Data Integration
Data Modeling
Django
JIRA
JavaScript
Postman
Python
RESTful APIs
React.js
Requirements Gathering
SQL
Stakeholder Management
Version Control (Git)
Agile Methodology
Basic DevOps Practices
Basic HTML/CSS
Basic Linux Commands
Communication
Documentation
Excel
MongoDB
Power BI
Tableau
Team Collaboration
User Experience (UX) Principles
Agile Project Management
Business Process Mapping
CI/CD
Cloud Computing (AWS)
Data Analysis
Data Integration
Data Modeling
Django
JIRA
JavaScript
Postman
Python
RESTful APIs
React.js
Requirements Gathering
SQL
Stakeholder Management
Version Control (Git)
Agile Methodology
Basic DevOps Practices
Basic HTML/CSS
Basic Linux Commands
Communication
Documentation
Excel
MongoDB
Power BI
Tableau
Team Collaboration
User Experience (UX) Principles
Founding Deployment Strategist
ONSITE
San Francisco, California, United States
As a Founding Deployment Strategist in the Information Technology industry, you will play a pivotal role in the OPX project. Your contributions will help streamline deployment strategies and improve operational efficiencies. This position is ideal for individuals eager to make a significant impact while working alongside a dynamic team. Key Responsibilities - Own end-to-end development of deployment strategies, ensuring alignment with project goals. - Collaborate with project managers and cross-functional teams to translate requirements into actionable deployment plans. - Conduct thorough analysis and review of deployment processes to enhance efficiency and effectiveness. - Mentor junior team members, fostering a culture of continuous learning and knowledge sharing. - Participate in strategic discussions to propose innovative solutions and improvements. - Identify and troubleshoot complex deployment challenges, ensuring timely resolutions. - Stay updated on industry trends and emerging technologies to recommend best practices. Ways of Working - Engage actively in team meetings, providing updates on progress and addressing any potential roadblocks. - Maintain clear and consistent communication with stakeholders, ensuring alignment on project objectives and timelines. - Adapt to varying project demands, demonstrating flexibility and a proactive approach to problem-solving. Collaboration & Communication - Coordinate effectively with product managers, designers, and operational teams to set clear acceptance criteria. - Share status updates and risk assessments early, presenting options and trade-offs for informed decision-making. - Navigate time zones and schedules to maintain smooth collaboration in an onsite environment. Growth Signals - Demonstrated ability to deliver projects on time, with a focus on quality and stakeholder satisfaction. - Opportunities for professional development through mentorship and exposure to diverse aspects of deployment strategies. - Potential for advancement within the organization based on performance and contributions. Must-Haves
Read More
Manufacturing
Supply Chain
Manufacturing
Supply Chain
Forward Deployed Engineer
ONSITE
San Francisco, California, United States
Forward Deployed Engineer - Drive Innovation & Impact Take ownership of meaningful projects while collaborating with a talented team of engineers. Perfect for developers ready to level up their career and make their mark in tech. Position Details • Experience Range: 0 to 2 years • Engagement Type: Freelance • Work Mode: Onsite • Location: San Francisco, California, United States • Openings: 2 positions available. Key Responsibilities - Own end-to-end development of features from conception to deployment, ensuring alignment with project goals. - Collaborate with product managers and designers to translate requirements into technical solutions that meet user needs. - Write scalable, maintainable code and conduct thorough code reviews to uphold quality standards. - Mentor junior developers and contribute to team knowledge sharing, fostering a collaborative environment. - Participate in architectural discussions and propose technical improvements to enhance system performance. - Debug complex issues and optimize application performance, ensuring a seamless user experience. - Stay current with industry trends and evaluate new technologies for potential adoption in projects. Must-Haves - Python, REST APIs Good-to-Have Skills - SQL Engagement & Compensation Employment Type: Freelance Work Mode: Onsite Location: San Francisco, California, United States Openings: 2 positions available. Experience: 0 to 2 years Compensation: Hourly Rate: $0.0-$0.0 per hour Additional Comments In-office in San Francisco or New York City. Base salary $150,000–$275,000 plus equity. 3–8 years technical customer-facing or software engineering experience; Python, SQL, data pipelines, unstructured data, RAG, embeddings, LLMs, vector databases, agentic workflows. Visa transfers and sponsorship supported.
Read More
Python
REST APIs
SQL
Python
REST APIs
SQL
AI Engineer
REMOTE
85 - 110
Fireworks AI is hiring senior AI Field Engineers to help AI-native customers adopt and scale its generative AI platform. This role combines sales engineering with forward-deployed engineering and owns technical discovery, workshops, proof-of-concepts, integration, and performance work. Responsibilities • Lead technical discovery, demos, POCs, POVs, and customer workshops. • Integrate the Fireworks platform into customer AI/ML systems. • Partner with customers on architecture, performance engineering, and production deployment. • Translate business requirements into practical AI solutions and maintain strong client relationships. • Work cross-functionally with sales, product, and engineering teams. Required Qualifications • 5-10 years of relevant experience; senior individual contributor ready to lead. • Experience at a top-tier AI-native company. • Customer-facing pre-sales experience as a Solutions Architect, Sales Engineer, TAM, Engineering Manager, or Product Manager. • Strong AI/ML depth, including fine-tuned LLMs, generative AI infrastructure, or hyperscaler AI services. • Demonstrated success building and maintaining production systems. • Excellent client management and communication skills. Preferred Qualifications • Kubernetes, ML engineering, and product thinking. • Experience with complex enterprise AI deployments. Employment Details • Full-time; 8-10 openings. • Remote, with New York and San Francisco candidates preferred. • Regular enterprise customer travel may be required. • Base salary: $176,000-$228,000. • OTE: $220,000-$285,000.
Read More
APIs
AWS
AWS Basics
Advanced Cloud Strategies
Advanced Data Visualization
Advanced Project Management
Advanced Reinforcement Learning
Advanced SQL
Advanced Statistical Analysis
Advanced Statistics
Advanced TensorFlow
Agile Methodology
Apache Spark
Azure
Basic Cloud Services
Basic ML Concepts
Basic Machine Learning
Basic Machine Learning Concepts
Basic Statistical Analysis
Basic Statistics
AI Ecosystem Development
AI Ethics
AI Fairness
AI Governance
AI Model Auditing
AI Product Lifecycle Management
AI Project Management
AI Research
AI Strategy
AI Strategy Development
AI System Design
AI Technology Evaluation
API Development
API Integration
AWS
Advanced Architecture
Advanced Machine Learning
Advanced Model Explainability
Agile Methodology
Agile Project Management
Algorithm Development
Algorithm Optimization
Algorithmic Accountability
Apache Spark
Architecting ML Solutions
Architecting ML Systems
Architectural Design
Architectural Design Patterns
Architecture Design
Basic NLP
Bias Detection
Big Data Technologies
Budget Management
Business Analytics
Business Process Mapping
CI/CD
CI/CD Basics
Change Leadership
Change Management
Chatbot Development
Client Interaction
Cloud Architecture
Cloud Deployment (AWS)
Cloud Platforms (AWS)
Cloud Services
Company-Wide Initiatives
Company-Wide Strategy
Complex Problem Solving
Computer Vision
Corporate Governance
Corporate Strategy
Crisis Management
Cross-Department Collaboration
Cross-Departmental Initiatives
Cross-Departmental Leadership
Cross-Functional Collaboration
Cross-functional Collaboration
Data Analysis
Data Annotation
Data Engineering Basics
Data Ethics
Data Governance
Data Modeling
Data Preprocessing
Data Privacy
Data Visualization
Database Design
Deep Learning
Deep Learning Techniques
Design Patterns
Dialogflow
Distributed Systems
Django
Docker
Enterprise AI Solutions
Enterprise Architecture
Enterprise Strategy
Ethical AI Frameworks
Ethical AI Practices
Excel
Executive Communication
Executive Leadership
Executive Presence
Explainable AI
Explainable AI Frameworks
Feature Engineering
Feature Importance
Flask
Generative AI Frameworks
Generative Model Training
Git
Hyperparameter Tuning
Industry Advocacy
Industry Networking
Industry Trends Analysis
Influence Across Teams
Influencing AI Policy
Influencing Business Direction
Influencing Company Strategy
Innovation Leadership
Innovation Management
JIRA
JavaScript
Jupyter Notebooks
Kubernetes
LIME
Large Language Models
Large-scale Implementations
Lead Cross-Functional Teams
Leadership
MLOps
Machine Learning Algorithms
Machine Learning Basics
Machine Learning Deployment
Market Positioning
Mentoring
Mentoring Junior Engineers
Microservices
Model Architecture
Model Deployment
Model Evaluation
Model Interpretability
Model Monitoring
Model Optimization
Model Training
NLP Techniques
Natural Language Processing
Networking
NumPy
Org-wide Strategy
Organizational Culture
Organizational Design
Organizational Development
Organizational Impact
Organizational Leadership
Organizational Strategy
Organizational Transformation
P&L Management
Pandas
Performance Management
Performance Metrics
Performance Optimization
Performance Tuning
PostgreSQL
Postman
Problem Solving
Project Management
Prompt Engineering
Public Speaking
Python
Python 3.x
REST APIs
React
Regulatory Strategy
Reinforcement Learning
Requirements Gathering
Research and Development
Resource Allocation
Responsible AI Practices
Risk Assessment
Risk Management
Roadmap Planning
SHAP
SQL
Scalable Systems
Scikit-Learn
Scikit-learn
Setting Standards
Stakeholder Engagement
Stakeholder Management
Standards Setting
Strategic Decision Making
Strategic Planning
Strategic Vision
System Design
System Design Basics
Systems Integration
Team Building
Team Leadership
Technical Architecture
Technical Documentation
Technical Leadership
Technical Roadmapping
Technical Strategy
TensorFlow
Thought Leadership
Transformational Leadership
Version Control (Git)
Vision Setting
AI Ethics
AI Regulation Knowledge
AI Research Trends
API Development
Big Data Technologies
Board Communication
Brand Management
Budget Management
Budget Planning
Business Acumen
Business Impact Analysis
Business Intelligence
Business Intelligence Tools
Business Process Modeling
Business Strategy
CI/CD
CSS
Change Leadership
Change Management
Cloud Computing
Cloud Security
Collaboration Tools
Communication
Community Engagement
Computer Vision
Conflict Resolution
Corporate Governance
Corporate Social Responsibility
Cross-Functional Collaboration
Cross-Functional Teamwork
Data Analysis
Data Engineering
Data Ethics
Data Governance
Data Modeling
Data Pipeline Development
Data Pipelines
Data Preprocessing
Data Privacy
Data Privacy Regulations
Data Quality Assurance
Data Strategy
Data Visualization
Data Visualization (Tableau)
Data Warehousing
Data Wrangling
DevOps Practices
Digital Transformation
Distributed Systems
Docker
Documentation Skills
ElasticSearch
Elasticsearch
Emerging Technologies
Enterprise AI Solutions
Ethical Hacking
Ethics in AI
Excel
Executive Communication
Explainability Frameworks
Flask
GCP
Git
Global AI Trends
Global Market Trends
Google Cloud Platform
Google Cloud Platform (GCP)
GraphQL
HTML
Hadoop
Hugging Face Transformers
Industry Networking
Innovation Management
Innovative Practices
International Standards
Introduction to Neural Networks
Investment Strategies
Investor Relations
JIRA
JavaScript
Jupyter Notebooks
Keras
Kubernetes
Leadership
Linux
Machine Learning Operations (MLOps)
Machine Learning Pipelines
Matplotlib
Mentoring
Mentoring Junior Engineers
Mentorship Programs
Merger & Acquisition Strategy
Microservices
Model Deployment
Model Explainability
Model Interpretability
Model Monitoring
Natural Language Processing
NumPy
OKRs
Organizational Change Management
Organizational Design
Organizational Strategy
P&L Management
Pandas
Performance Management
Performance Metrics
PostgreSQL
Power BI
Predictive Analytics
Presentation Skills
Process Mapping
Product Development
Project Documentation
Project Management
Public Speaking
R
Regulatory Compliance
Requirements Gathering
Research Skills
Resource Allocation
Risk Assessment
Risk Management
SQL
Salesforce
Scikit-learn
Scrum
Seaborn
Stakeholder Engagement
Stakeholder Management
Strategic Partnerships
Strategic Planning
Strategic Thinking
System Design Basics
Tableau
Talent Development
Team Building
Team Collaboration
Team Leadership
Technical Documentation
Technical Leadership
Technical Strategy
Technical Writing
TensorFlow
TensorFlow Extended (TFX)
Thought Leadership
Unit Testing
User Experience (UX)
User Experience (UX) Design
User Experience (UX) Principles
User Testing
User-Centric Design
Version Control
Vision Setting
APIs
AWS
AWS Basics
Advanced Cloud Strategies
Advanced Data Visualization
Advanced Project Management
Advanced Reinforcement Learning
Advanced SQL
Advanced Statistical Analysis
Advanced Statistics
Advanced TensorFlow
Agile Methodology
Apache Spark
Azure
Basic Cloud Services
Basic ML Concepts
Basic Machine Learning
Basic Machine Learning Concepts
Basic Statistical Analysis
Basic Statistics
AI Ecosystem Development
AI Ethics
AI Fairness
AI Governance
AI Model Auditing
AI Product Lifecycle Management
AI Project Management
AI Research
AI Strategy
AI Strategy Development
AI System Design
AI Technology Evaluation
API Development
API Integration
AWS
Advanced Architecture
Advanced Machine Learning
Advanced Model Explainability
Agile Methodology
Agile Project Management
Algorithm Development
Algorithm Optimization
Algorithmic Accountability
Apache Spark
Architecting ML Solutions
Architecting ML Systems
Architectural Design
Architectural Design Patterns
Architecture Design
Basic NLP
Bias Detection
Big Data Technologies
Budget Management
Business Analytics
Business Process Mapping
CI/CD
CI/CD Basics
Change Leadership
Change Management
Chatbot Development
Client Interaction
Cloud Architecture
Cloud Deployment (AWS)
Cloud Platforms (AWS)
Cloud Services
Company-Wide Initiatives
Company-Wide Strategy
Complex Problem Solving
Computer Vision
Corporate Governance
Corporate Strategy
Crisis Management
Cross-Department Collaboration
Cross-Departmental Initiatives
Cross-Departmental Leadership
Cross-Functional Collaboration
Cross-functional Collaboration
Data Analysis
Data Annotation
Data Engineering Basics
Data Ethics
Data Governance
Data Modeling
Data Preprocessing
Data Privacy
Data Visualization
Database Design
Deep Learning
Deep Learning Techniques
Design Patterns
Dialogflow
Distributed Systems
Django
Docker
Enterprise AI Solutions
Enterprise Architecture
Enterprise Strategy
Ethical AI Frameworks
Ethical AI Practices
Excel
Executive Communication
Executive Leadership
Executive Presence
Explainable AI
Explainable AI Frameworks
Feature Engineering
Feature Importance
Flask
Generative AI Frameworks
Generative Model Training
Git
Hyperparameter Tuning
Industry Advocacy
Industry Networking
Industry Trends Analysis
Influence Across Teams
Influencing AI Policy
Influencing Business Direction
Influencing Company Strategy
Innovation Leadership
Innovation Management
JIRA
JavaScript
Jupyter Notebooks
Kubernetes
LIME
Large Language Models
Large-scale Implementations
Lead Cross-Functional Teams
Leadership
MLOps
Machine Learning Algorithms
Machine Learning Basics
Machine Learning Deployment
Market Positioning
Mentoring
Mentoring Junior Engineers
Microservices
Model Architecture
Model Deployment
Model Evaluation
Model Interpretability
Model Monitoring
Model Optimization
Model Training
NLP Techniques
Natural Language Processing
Networking
NumPy
Org-wide Strategy
Organizational Culture
Organizational Design
Organizational Development
Organizational Impact
Organizational Leadership
Organizational Strategy
Organizational Transformation
P&L Management
Pandas
Performance Management
Performance Metrics
Performance Optimization
Performance Tuning
PostgreSQL
Postman
Problem Solving
Project Management
Prompt Engineering
Public Speaking
Python
Python 3.x
REST APIs
React
Regulatory Strategy
Reinforcement Learning
Requirements Gathering
Research and Development
Resource Allocation
Responsible AI Practices
Risk Assessment
Risk Management
Roadmap Planning
SHAP
SQL
Scalable Systems
Scikit-Learn
Scikit-learn
Setting Standards
Stakeholder Engagement
Stakeholder Management
Standards Setting
Strategic Decision Making
Strategic Planning
Strategic Vision
System Design
System Design Basics
Systems Integration
Team Building
Team Leadership
Technical Architecture
Technical Documentation
Technical Leadership
Technical Roadmapping
Technical Strategy
TensorFlow
Thought Leadership
Transformational Leadership
Version Control (Git)
Vision Setting
AI Ethics
AI Regulation Knowledge
AI Research Trends
API Development
Big Data Technologies
Board Communication
Brand Management
Budget Management
Budget Planning
Business Acumen
Business Impact Analysis
Business Intelligence
Business Intelligence Tools
Business Process Modeling
Business Strategy
CI/CD
CSS
Change Leadership
Change Management
Cloud Computing
Cloud Security
Collaboration Tools
Communication
Community Engagement
Computer Vision
Conflict Resolution
Corporate Governance
Corporate Social Responsibility
Cross-Functional Collaboration
Cross-Functional Teamwork
Data Analysis
Data Engineering
Data Ethics
Data Governance
Data Modeling
Data Pipeline Development
Data Pipelines
Data Preprocessing
Data Privacy
Data Privacy Regulations
Data Quality Assurance
Data Strategy
Data Visualization
Data Visualization (Tableau)
Data Warehousing
Data Wrangling
DevOps Practices
Digital Transformation
Distributed Systems
Docker
Documentation Skills
ElasticSearch
Elasticsearch
Emerging Technologies
Enterprise AI Solutions
Ethical Hacking
Ethics in AI
Excel
Executive Communication
Explainability Frameworks
Flask
GCP
Git
Global AI Trends
Global Market Trends
Google Cloud Platform
Google Cloud Platform (GCP)
GraphQL
HTML
Hadoop
Hugging Face Transformers
Industry Networking
Innovation Management
Innovative Practices
International Standards
Introduction to Neural Networks
Investment Strategies
Investor Relations
JIRA
JavaScript
Jupyter Notebooks
Keras
Kubernetes
Leadership
Linux
Machine Learning Operations (MLOps)
Machine Learning Pipelines
Matplotlib
Mentoring
Mentoring Junior Engineers
Mentorship Programs
Merger & Acquisition Strategy
Microservices
Model Deployment
Model Explainability
Model Interpretability
Model Monitoring
Natural Language Processing
NumPy
OKRs
Organizational Change Management
Organizational Design
Organizational Strategy
P&L Management
Pandas
Performance Management
Performance Metrics
PostgreSQL
Power BI
Predictive Analytics
Presentation Skills
Process Mapping
Product Development
Project Documentation
Project Management
Public Speaking
R
Regulatory Compliance
Requirements Gathering
Research Skills
Resource Allocation
Risk Assessment
Risk Management
SQL
Salesforce
Scikit-learn
Scrum
Seaborn
Stakeholder Engagement
Stakeholder Management
Strategic Partnerships
Strategic Planning
Strategic Thinking
System Design Basics
Tableau
Talent Development
Team Building
Team Collaboration
Team Leadership
Technical Documentation
Technical Leadership
Technical Strategy
Technical Writing
TensorFlow
TensorFlow Extended (TFX)
Thought Leadership
Unit Testing
User Experience (UX)
User Experience (UX) Design
User Experience (UX) Principles
User Testing
User-Centric Design
Version Control
Vision Setting
Forward Deployed Software Engineer
HYBRID
New York City, New York, United States
Join us as a Forward Deployed Software Engineer at Adé AI, where you will play a pivotal role in driving innovative solutions within the Information Technology industry. Your expertise will contribute to the development of cutting-edge applications that enhance our customer-facing delivery. This position offers a unique opportunity to work in a hybrid environment, collaborating with cross-functional teams to deliver impactful projects. Responsibilities
Read More
API Design and Development
Agile Coaching
Agile Project Management
Architectural Design
Business Process Mapping
CI/CD
Client Engagement
Cloud Computing (AWS)
Cloud Security Practices
Data Analysis
Data Integration
Data Modeling
Data Pipeline Development
Data Warehousing
Django
Docker
Flask
Full Stack Development
Gap Analysis
JIRA
Java
JavaScript
Kubernetes
Mentoring Junior Engineers
Microservices Architecture
Postman
Project Leadership
Python
RESTful APIs
React.js
Requirements Gathering
SQL
Stakeholder Management
Strategic Planning
Systems Integration
Team Leadership
Technical Documentation
Terraform
Version Control (Git)
Large Language Models (LLM)
Retrieval-Augmented Generation (RAG)
Advanced Python
Advanced SQL
Agile Methodology
Azure
Basic DevOps Practices
Basic HTML/CSS
Basic Linux Commands
Business Intelligence Tools
Business Model Innovation
Change Management
Communication
Documentation
Excel
GraphQL
Machine Learning Basics
MongoDB
Performance Tuning
Power BI
Process Automation
Salesforce
Tableau
Team Collaboration
Technical Training
User Experience (UX) Principles
API Design and Development
Agile Coaching
Agile Project Management
Architectural Design
Business Process Mapping
CI/CD
Client Engagement
Cloud Computing (AWS)
Cloud Security Practices
Data Analysis
Data Integration
Data Modeling
Data Pipeline Development
Data Warehousing
Django
Docker
Flask
Full Stack Development
Gap Analysis
JIRA
Java
JavaScript
Kubernetes
Mentoring Junior Engineers
Microservices Architecture
Postman
Project Leadership
Python
RESTful APIs
React.js
Requirements Gathering
SQL
Stakeholder Management
Strategic Planning
Systems Integration
Team Leadership
Technical Documentation
Terraform
Version Control (Git)
Large Language Models (LLM)
Retrieval-Augmented Generation (RAG)
Advanced Python
Advanced SQL
Agile Methodology
Azure
Basic DevOps Practices
Basic HTML/CSS
Basic Linux Commands
Business Intelligence Tools
Business Model Innovation
Change Management
Communication
Documentation
Excel
GraphQL
Machine Learning Basics
MongoDB
Performance Tuning
Power BI
Process Automation
Salesforce
Tableau
Team Collaboration
Technical Training
User Experience (UX) Principles
Applied Ai Engineer
ONSITE
Los Angeles, California, United States
As an Applied Ai Engineer at Alfred Labs, you will play a crucial role in the Information Technology industry. Your responsibilities will include working on innovative AI projects that have a significant impact on our business. Collaborating closely with a dynamic team, you will develop and implement advanced AI solutions while continuously honing your skills in applied AI, particularly in areas such as LLM and computer vision. Key Responsibilities - Own end-to-end development of features from conception to deployment, ensuring that solutions are robust and scalable. - Collaborate with product managers and designers to translate requirements into technical solutions that align with project goals. - Write scalable, maintainable code and conduct thorough code reviews to ensure high-quality output. - Mentor junior developers and contribute to team knowledge sharing, fostering an environment of learning and growth. - Participate in architectural discussions and propose technical improvements to enhance system performance. - Debug complex issues and optimize application performance, ensuring reliability and efficiency. - Stay current with industry trends and evaluate new technologies for adoption to maintain a competitive edge. Must-Haves
Read More
APIs
Excel
Flask
Git
Advanced SQL
Basic Statistics
Data Analysis
Data Preprocessing
Data Visualization
Django
Excel
Experimentation Techniques
Feature Engineering
JIRA
Jupyter Notebooks
Machine Learning Algorithms
Machine Learning Basics
Model Deployment
Model Evaluation
Model Training
Natural Language Processing (NLP)
NumPy
Pandas
Power BI
Python
Python Libraries
Requirements Gathering
SQL
TensorFlow
TensorFlow Basics
Version Control (Git)
API Integration
APIs
Advanced SQL
Basic Statistics
Cloud Computing (AWS)
Cloud Services (AWS)
Data Analysis
Data Preprocessing
Data Visualization
Django
Excel
Experimentation Techniques
Feature Engineering
Flask
Generative Adversarial Networks (GANs)
JIRA
Jupyter Notebooks
Machine Learning Algorithms
Machine Learning Basics
Model Deployment
Model Evaluation
Model Optimization
Model Training
Natural Language Processing (NLP)
NumPy
Pandas
Power BI
Python
Python 3.x
Python Libraries
Requirements Gathering
SQL
Team Collaboration
Team Leadership
TensorFlow
TensorFlow Advanced
TensorFlow Basics
Version Control (Git)
Scrum
AWS
Agile Methodology
Basic ML Concepts
Communication
Data Modeling
Data Visualization
GitHub
Google Cloud Platform (GCP)
Kubernetes
Postman
Power BI
Process Mapping
Requirements Gathering
Stakeholder Management
Tableau
User Experience (UX)
AWS
Advanced Data Analysis
Agile Methodology
Basic ML Concepts
Business Process Mapping
Business Process Modeling
CI/CD
Communication
Communication Skills
Data Modeling
Data Visualization
Docker
Excel
Flask
Git
GitHub
Google Cloud Platform (GCP)
Kubernetes
Postman
Power BI
Process Mapping
Requirements Gathering
Scrum
Stakeholder Management
Tableau
User Experience (UX)
APIs
Excel
Flask
Git
Advanced SQL
Basic Statistics
Data Analysis
Data Preprocessing
Data Visualization
Django
Excel
Experimentation Techniques
Feature Engineering
JIRA
Jupyter Notebooks
Machine Learning Algorithms
Machine Learning Basics
Model Deployment
Model Evaluation
Model Training
Natural Language Processing (NLP)
NumPy
Pandas
Power BI
Python
Python Libraries
Requirements Gathering
SQL
TensorFlow
TensorFlow Basics
Version Control (Git)
API Integration
APIs
Advanced SQL
Basic Statistics
Cloud Computing (AWS)
Cloud Services (AWS)
Data Analysis
Data Preprocessing
Data Visualization
Django
Excel
Experimentation Techniques
Feature Engineering
Flask
Generative Adversarial Networks (GANs)
JIRA
Jupyter Notebooks
Machine Learning Algorithms
Machine Learning Basics
Model Deployment
Model Evaluation
Model Optimization
Model Training
Natural Language Processing (NLP)
NumPy
Pandas
Power BI
Python
Python 3.x
Python Libraries
Requirements Gathering
SQL
Team Collaboration
Team Leadership
TensorFlow
TensorFlow Advanced
TensorFlow Basics
Version Control (Git)
Scrum
AWS
Agile Methodology
Basic ML Concepts
Communication
Data Modeling
Data Visualization
GitHub
Google Cloud Platform (GCP)
Kubernetes
Postman
Power BI
Process Mapping
Requirements Gathering
Stakeholder Management
Tableau
User Experience (UX)
AWS
Advanced Data Analysis
Agile Methodology
Basic ML Concepts
Business Process Mapping
Business Process Modeling
CI/CD
Communication
Communication Skills
Data Modeling
Data Visualization
Docker
Excel
Flask
Git
GitHub
Google Cloud Platform (GCP)
Kubernetes
Postman
Power BI
Process Mapping
Requirements Gathering
Scrum
Stakeholder Management
Tableau
User Experience (UX)
Founding Engineer
REMOTE
San Francisco, California, United States
180,000 - 250,000
Job Title: Founding Engineer Company: Ember AI Location: Remote / San Francisco, CA Work Arrangement: Fully remote; hybrid collaboration possible for SF Bay Area candidates Salary: $180,000 - $250,000 Employment: Full-time Equity: Competitive equity Job Description Ember AI is looking for a Founding Engineer to help build its Enterprise Intelligence platform from the ground up. This is a true 0-to-1 role for an entrepreneurial, product-minded full-stack engineer who has experience building AI-powered products and thrives in ambiguity. You will work across product, infrastructure, agents, evaluations, and customer workflows, turning early customer demand into a scalable AI platform. Responsibilities - Lead development of the core platform for AI agents, including triggers, tools, approvals, evaluations, memory, observability, and workflow execution. - Own products end to end, from customer discovery and technical design through implementation, launch, and iteration. - Build core Enterprise Intelligence features across the full stack. - Develop AI-powered product features using LLM APIs, RAG, agent orchestration, and related technologies. - Shape the product roadmap and technical architecture. - Establish engineering practices and contribute to the company's technical culture. - Work directly with customers for discovery, debugging, and product feedback. - Make technical decisions and move quickly in a highly autonomous startup environment. Requirements - 3-7 years of experience in full-stack engineering. - 0-to-1 experience as a founder, founding engineer, or early-stage engineer. - Experience shipping AI-powered product features in production. - Experience working with AI labs or open-source environments is a plus. - Strong full-stack engineering capabilities. - Hands-on experience with LLM APIs, RAG, agent orchestration, agentic workflows, or evaluations. - Bachelor's degree in Computer Science or an equivalent technical degree. - Strong interest in the AI development ecosystem. - Comfortable speaking directly with customers for discovery and debugging. - High agency, strong ownership, and ability to work independently. - Comfortable working across the technology stack rather than in a narrow specialization. Preferred Technologies RAG, Agent Orchestration, Agentic Systems, Agentic Workflows, Agent Frameworks, LLM APIs, AI Agents.
Read More
RAG
Agent Orchestration
LLM APIs
Full-stack Engineering
JavaScript
HTML
CSS
Git
Node.js
React.js
RESTful APIs
Express.js
MongoDB
AWS
Microservices Architecture
DevOps Practices
Software Architecture
Agentic Workflows
AI Agents
JIRA
SQL
Postman
Agile Methodology
Figma
Docker
Test-Driven Development (TDD)
GraphQL
Kubernetes
Terraform
System Design
RAG
Agent Orchestration
LLM APIs
Full-stack Engineering
JavaScript
HTML
CSS
Git
Node.js
React.js
RESTful APIs
Express.js
MongoDB
AWS
Microservices Architecture
DevOps Practices
Software Architecture
Agentic Workflows
AI Agents
JIRA
SQL
Postman
Agile Methodology
Figma
Docker
Test-Driven Development (TDD)
GraphQL
Kubernetes
Terraform
System Design
Forward Deployed AI Engineer
HYBRID
San Diego, California, United States
165,000 - 225,000
Job Title: Staff Forward Deployed AI Engineer Company: Cadre AI Location: San Diego, CA Work Arrangement: Flexible hybrid Salary: $165,000 - $225,000 Employment: Full-time Equity: Competitive equity Job Description Cadre AI is looking for a Staff Forward Deployed AI Engineer to serve as the technical backbone of its San Diego engineering team. This is a hybrid role for an engineer who can build complex production AI systems while confidently working with executive-level clients and mentoring other engineers. Responsibilities - Build and own end-to-end production AI systems across a diverse client portfolio, including voice agents, RAG pipelines, LLM orchestration, Salesforce integrations, and automation. - Join client calls with solutions leaders and translate complex technical solutions for C-level stakeholders. - Lead technical discussions and keep client engagements on track under pressure. - Mentor and coach existing Forward Deployed Engineers. - Review engineering work and help develop the team's technical and client-facing capabilities. - Partner with the Head of Engineering on architecture, engineering processes, and technical standards. - Triage and delegate technical builds across the team. - Take ownership of the most complex client problems and drive solutions from design through production. Requirements - 5-10 years of experience as a Forward Deployed Engineer or customer-facing software engineer. - Experience designing and building client-facing AI systems in production. - Strong experience with agentic workflows, RAG pipelines, document processing, automation, and LLM orchestration. - Strong software engineering skills and experience building end-to-end production systems. - At least 1 year of experience formally mentoring or managing engineers. - Experience building voice agents tied to measurable business outcomes. - Production cloud deployment experience with AWS, GCP, or Azure. - Bachelor's degree in Computer Science, Engineering, or a STEM field. - Strong communication and executive-level client engagement skills. - High agency, low ego, and comfort working in ambiguous environments. - Based in San Diego, CA, or willing to commute from Orange County, Temecula, or Riverside. Preferred Technologies Python, Anthropic Claude, OpenAI API, LLM Orchestration, RAG, Agentic Workflows, Vector Search, Embeddings, Prompt Engineering, AWS, GCP, Azure, LangChain, LlamaIndex, Voice Agents, Salesforce Integrations.
Read More
LLM Orchestration
RAG
Voice Agents
AWS
AI Ecosystem Leadership
AI Ethics
AI Governance
AI Product Management
AI Project Management
Advanced Data Structures
Board-Level Strategy
C-Suite Leadership
Change Management Expertise
Cloud Architecture
Collaboration Platforms
Company-wide AI Strategy
Competitive Analysis
Computer Vision
Corporate Governance
Corporate Strategy Development
Cross-Functional Influence
Cross-Functional Team Leadership
Data Mining
Data Strategy
Deep Learning
Enterprise AI Solutions
Executive Communication
Executive Influence
Executive Leadership
Framework Development
Future Trends Forecasting
Global Influence
Global Strategy Execution
Industry Expertise
Industry Partnerships
Industry Standards Setting
Industry-Wide Innovation
Innovation Strategy
Innovative Business Models
Large Scale Deployments
Long-Term Vision Development
Major Transformations
Mentoring
Model Architecture
Natural Language Processing (NLP)
Organizational Architecture
Organizational Change Management
Organizational Impact
Organizational Transformation
P&L Management
Performance Management
Performance Metrics
Performance Tuning
Predictive Modeling
PyTorch
Research & Development
Risk Management
Stakeholder Engagement
Strategic AI Implementation
Strategic Vision Implementation
System Architecture
Technical Documentation
Technical Roadmap Development
Thought Leadership
Training & Development Programs
Transformational Leadership
Vision Setting
Visionary Company Strategy
Visionary Impact
Visionary Leadership
LangChain
Salesforce Integrations
Advanced SQL
Agile Project Management
Board Communication
Board-Level Advocacy
Budget Planning
Business Strategy
C-Suite Collaboration
Change Leadership
Change Management
Cost Optimization
Cross-Industry Collaboration
Cultural Competence
Diversity & Inclusion Initiatives
Emerging Technologies
Executive Presence
Global Leadership Networks
Global Market Insights
Global Policy Influence
Global Strategy
Industry Networking
Innovation Ecosystem
Innovation Frameworks
Investment Strategies
Lean Methodology
Legacy Building
Long-Term Economic Impact
Market Disruption Management
Market-Driven Strategy
Mergers & Acquisitions
Multi-Industry Engagement
OKRs
Organizational Design
Policy Development
Public Speaking
Resource Allocation
Salesforce
Strategic Mergers
Strategic Partnerships
Strategic Planning
Sustainability Initiatives
Thought Leadership
Thought Leadership Publications
Transformational Governance
User Experience (UX)
LLM Orchestration
RAG
Voice Agents
AWS
AI Ecosystem Leadership
AI Ethics
AI Governance
AI Product Management
AI Project Management
Advanced Data Structures
Board-Level Strategy
C-Suite Leadership
Change Management Expertise
Cloud Architecture
Collaboration Platforms
Company-wide AI Strategy
Competitive Analysis
Computer Vision
Corporate Governance
Corporate Strategy Development
Cross-Functional Influence
Cross-Functional Team Leadership
Data Mining
Data Strategy
Deep Learning
Enterprise AI Solutions
Executive Communication
Executive Influence
Executive Leadership
Framework Development
Future Trends Forecasting
Global Influence
Global Strategy Execution
Industry Expertise
Industry Partnerships
Industry Standards Setting
Industry-Wide Innovation
Innovation Strategy
Innovative Business Models
Large Scale Deployments
Long-Term Vision Development
Major Transformations
Mentoring
Model Architecture
Natural Language Processing (NLP)
Organizational Architecture
Organizational Change Management
Organizational Impact
Organizational Transformation
P&L Management
Performance Management
Performance Metrics
Performance Tuning
Predictive Modeling
PyTorch
Research & Development
Risk Management
Stakeholder Engagement
Strategic AI Implementation
Strategic Vision Implementation
System Architecture
Technical Documentation
Technical Roadmap Development
Thought Leadership
Training & Development Programs
Transformational Leadership
Vision Setting
Visionary Company Strategy
Visionary Impact
Visionary Leadership
LangChain
Salesforce Integrations
Advanced SQL
Agile Project Management
Board Communication
Board-Level Advocacy
Budget Planning
Business Strategy
C-Suite Collaboration
Change Leadership
Change Management
Cost Optimization
Cross-Industry Collaboration
Cultural Competence
Diversity & Inclusion Initiatives
Emerging Technologies
Executive Presence
Global Leadership Networks
Global Market Insights
Global Policy Influence
Global Strategy
Industry Networking
Innovation Ecosystem
Innovation Frameworks
Investment Strategies
Lean Methodology
Legacy Building
Long-Term Economic Impact
Market Disruption Management
Market-Driven Strategy
Mergers & Acquisitions
Multi-Industry Engagement
OKRs
Organizational Design
Policy Development
Public Speaking
Resource Allocation
Salesforce
Strategic Mergers
Strategic Partnerships
Strategic Planning
Sustainability Initiatives
Thought Leadership
Thought Leadership Publications
Transformational Governance
User Experience (UX)
Cloud Migration Consultant
ONSITE
Bangalore, Karnataka, India
Role Overview Avashya is an AI-first, platform-led services company founded by engineers and specialists with experience at AWS and Microsoft. This role owns enterprise cloud migration and modernisation work end to end: moving clients off infrastructure that holds them back and onto cloud foundations they can build on. Responsibilities • Extend migration and modernisation accelerators, including assessment tooling, landing-zone patterns, and reusable infrastructure code. Where a client estate breaks the template, build the pattern that handles it. • Turn learning from each migration into reusable reference architectures, cutover runbooks, and tested rollback paths. • Take client estates—such as monoliths, on-premise server fleets, and legacy data platforms—from discovery and dependency mapping through cutover and steady state. • Choose the right modernisation depth per workload: rehost where speed matters, replatform onto managed services, or refactor to containers or serverless where the business case supports it. • Stay accountable after cutover, including workload behaviour and cost. • Make client-specific tradeoffs between big-bang cutovers and incremental strangler approaches. • Hold workloads to cost and latency expectations throughout the move; a migration that lands slower or more expensive is a regression. • Gate go-live on measured validation of data integrity, performance parity, security posture, and cost against the pre-migration baseline. • Investigate cutover issues quickly with a rollback ready before it is needed. • Review architecture and code, and mentor as the team grows. Required Depth Migration strategy and architecture: • Practical command of the 7 Rs: knowing where rehost, replatform, and refactoring to containers or serverless are appropriate. • Cloud landing zones and multi-account foundations, including account structure, guardrails, network topology, hybrid connectivity, and when well-architected defaults fail real estates. • Discovery, dependency mapping, migration-wave sequencing, and cutovers that can be rolled back. • Data migration that preserves consistency and validation without extended downtime. Modernisation: • Compute modernisation through containerisation, monolith decomposition, and serverless where it fits. • Data and integration modernisation from legacy databases and ETL to managed and event-driven patterns. • Infrastructure as code, CI/CD for infrastructure, and repeatable environment builds. Cost, Security, and Validation: • Right-sizing and source-estate baselining to prove the migrated workload is cheaper to run. • Identity and access, encryption in transit and at rest, network segmentation, and regulated-data handling including HIPAA, GDPR, and data residency. • Validation of data integrity, performance parity, and security posture against pre-migration baselines, including P50/P95/P99 latency where relevant. Experience 2+ years of work experience with AWS Cloud Migration. Depth matters more than tenure. Compensation Top-of-market; pay reflects depth, not tenure.
Read More
AWS Cloud Migration
Cloud Landing Zones
Infrastructure as Code
CI/CD
Containerization
Serverless
Data Migration
Hybrid Connectivity
Cloud Security
Cost Optimization
Rehosting
Replatforming
Application Refactoring
AWS Well-Architected Framework
HIPAA
GDPR
AWS Cloud Migration
Cloud Landing Zones
Infrastructure as Code
CI/CD
Containerization
Serverless
Data Migration
Hybrid Connectivity
Cloud Security
Cost Optimization
Rehosting
Replatforming
Application Refactoring
AWS Well-Architected Framework
HIPAA
GDPR
Voice AI Engineer
REMOTE
Role Overview Avashya is an AI-first, platform-led services company founded by engineers and specialists with experience at AWS and Microsoft. This Voice AI Engineer role owns the real-time voice platform and every client implementation built on it—closing the gap between a demo and a production-grade voice AI product. Responsibilities • Extend the real-time voice framework; when configuration reaches its limits, work directly with the runtime. • Turn lessons from each client build into reusable platform capabilities for the next. • Take client use cases—such as outbound negotiation, multilingual support, and appointment booking—from scoping through go-live. • Tune ASR, LLM, TTS, RAG, tool-calling, and orchestration to the client, languages, and call volume rather than relying on a default stack. • Remain the technical owner after launch and diagnose production behaviour quickly. • Set latency budgets for every stage of a conversation and maintain them as load and providers change. • Gate releases on measured evaluations; investigate degraded call quality before clients need to report it. • Make client-specific tradeoffs between speed and polish; review code and mentor as the team grows. Required Depth Architecture and real-time voice systems: • Deep, hands-on knowledge of Pipecat, LiveKit Agents, or comparable orchestration frameworks, including their internals and limits. • Ability to select cascaded ASR/LLM/TTS pipelines or speech-to-speech approaches based on control, swapability, latency, and prosody needs. • Strong turn-taking expertise: VAD tuning, endpointing, barge-in, and natural handling of interruptions. • WebRTC and SIP telephony experience, including jitter buffers, PSTN versus browser tradeoffs, and Opus, PCM, and mu-law codecs. Latency, retrieval, and tool use: • Ability to decompose end-to-end latency across ASR partials, LLM time-to-first-token, TTS time-to-first-audio-byte, network hops, and tool-calling round trips. • Experience streaming ASR, LLM, and TTS together, using approaches such as fillers, early commits, or speculative synthesis when tool calls are slow. • Ability to use RAG and live tool calls while preserving a natural, live conversation. Evaluation and guardrails: • Voice-specific evaluation of ASR accuracy (WER), TTS naturalness, and end-to-end conversation quality. • Track P50, P95, and P99 latency by stage and provider over time. • Implement content safety, hallucination control, PII handling for transcripts and recordings, consent, and data-residency practices for recorded calls. Experience Depth matters more than years of experience. This role calls for senior-level ownership of production voice AI systems. Compensation Top-of-market; pay reflects depth, not tenure.
Read More
Voice AI
Pipecat
LiveKit Agents
ASR
LLM
TTS
RAG
WebRTC
SIP
VAD
Speech-to-Speech
PSTN
Voice AI Evaluation
PII Handling
Voice AI
Pipecat
LiveKit Agents
ASR
LLM
TTS
RAG
WebRTC
SIP
VAD
Speech-to-Speech
PSTN
Voice AI Evaluation
PII Handling