Principal AI Integration Engineer
REMOTE
110 - 155
Client name (US based):SummitTrail Enterprise Systems How many openings do you have?:1 Job role:Principal AI Integration Engineer Years of exp:10-14 years Must have skills:AI model training / RLHF, Python, Workflow management, Large language models (LLMs), Artificial intelligence Good to have skills:CRM integration for AI workflows, Computer vision / visual image recognition, OpenAI / Anthropic / Gemini API integration, Pipeline orchestration (Kubeflow / Airflow / Prefect), Model monitoring Engagement type:Freelance Project name:Project SignalStack Acceleration Expected utilization per week:35 hours Duration:9 months Mode of work:Remote Billing cycle:Deliverable based Academic qualification:Bachelor's or Master's Business industry:IT Budget (hourly rate - minimum):USD 110/hr Budget (hourly rate - maximum):USD 155/hr Additional Comments:The client prefers consultants who can document delivery decisions clearly for non-technical stakeholders. Integrate AI services with CRMs, knowledge bases, ticketing systems, and collaboration channels. SummitTrail Enterprise Systems is hiring a Principal AI Integration Engineer to support enterprise systems integration initiatives in the US market. The role will partner with product, engineering, analytics, and business stakeholders to deliver production-grade AI capabilities with measurable operational impact. Primary responsibilities: - Translate business workflows into technically feasible AI-enabled product requirements and delivery plans. - Design, build, test, and document production-quality components that support internal and customer-facing use cases. - Work closely with data, platform, and application teams to improve reliability, observability, and release quality. - Establish practical evaluation criteria, monitor performance, and identify opportunities for workflow refinement. - Communicate implementation tradeoffs, risk areas, and rollout readiness to technical and non-technical stakeholders. Primary client location:San Jose, California, 95113
Staff AI QA and Evaluation Specialist
REMOTE
100 - 145
Client name (US based):Oakline Consumer Data How many openings do you have?:1 Job role:Staff AI QA and Evaluation Specialist Years of exp:9-12 years Must have skills:Artificial intelligence, SQL, Large language models (LLMs), AI agents / agentic AI, Data analysis Good to have skills:Computer vision / visual image recognition, Function calling / tool use, Experiment tracking (MLflow / Weights & Biases), Voice AI / speech AI, AI image generation & editing Engagement type:Freelance Project name:Project InsightLoop Foundation Expected utilization per week:30 hours Duration:12 months Mode of work:Remote Billing cycle:Deliverable based Academic qualification:Bachelor's Business industry:Consumer Analytics Budget (hourly rate - minimum):USD 100/hr Budget (hourly rate - maximum):USD 145/hr Additional Comments, if any:US business hours overlap of at least 4 hours is required for stakeholder coordination. Own rubric design, test datasets, model evaluation, and release-readiness reviews for AI features. Oakline Consumer Data is hiring a Staff AI QA and Evaluation Specialist to support consumer analytics initiatives in the US market. The role will partner with product, engineering, analytics, and business stakeholders to deliver production-grade AI capabilities with measurable operational impact. Primary responsibilities: - Translate business workflows into technically feasible AI-enabled product requirements and delivery plans. - Design, build, test, and document production-quality components that support internal and customer-facing use cases. - Work closely with data, platform, and application teams to improve reliability, observability, and release quality. - Establish practical evaluation criteria, monitor performance, and identify opportunities for workflow refinement. - Communicate implementation tradeoffs, risk areas, and rollout readiness to technical and non-technical stakeholders. Primary client location:Minneapolis, Minnesota, 55402
Senior Agentic AI Engineer
REMOTE
85 - 125
Client name (US based):SummitTrail Enterprise Systems How many openings do you have?:3 Job role:Senior Agentic AI Engineer Years of exp:6-10 years Must have skills:Conversational AI / chatbot development, Artificial intelligence, SQL, Amazon Web Services (AWS), MLOps / AI platform engineering Good to have skills:Object detection / segmentation (YOLO / DETR / SAM), EU AI Act compliance, Knowledge representation, Function calling / tool use, Containerization & Kubernetes Engagement type:Freelance Project name:Project SignalStack Rollout Expected utilization per week:36 hours Duration:12 months Mode of work:Remote Billing cycle:Weekly Academic qualification:Bachelor's or Master's Business industry:IT Budget (hourly rate - minimum):USD 85/hr Budget (hourly rate - maximum):USD 125/hr Additional Comments:The client values candidates who can balance experimentation speed with production discipline. Develop tool-using and multi-step agent workflows with state handling, evaluation, and fallback behavior. SummitTrail Enterprise Systems is hiring a Senior Agentic AI Engineer to support enterprise systems integration initiatives in the US market. The role will partner with product, engineering, analytics, and business stakeholders to deliver production-grade AI capabilities with measurable operational impact. Primary responsibilities: - Translate business workflows into technically feasible AI-enabled product requirements and delivery plans. - Implement LLM and agentic workflows with careful prompt design, retrieval patterns, tool use, fallback logic, and release discipline. - Work closely with data, platform, and application teams to improve reliability, observability, and release quality. - Establish practical evaluation criteria, monitor performance, and identify opportunities for workflow refinement. - Communicate implementation tradeoffs, risk areas, and rollout readiness to technical and non-technical stakeholders. Primary client location:San Jose, California, 95113
Senior AI Engineer
HYBRID
85 - 125
Client name (US based):Northscale Analytics How many openings do you have?:1 Job role:Senior AI Engineer Years of exp:6-10 years Must have skills:Artificial intelligence, Automation, Prompt engineering, Agentic systems, Data science Good to have skills:Generative AI modeling, Pipeline orchestration (Kubeflow / Airflow / Prefect), Infrastructure as code (Terraform / Pulumi), Stable Diffusion / diffusion models, Object detection / segmentation (YOLO / DETR / SAM) Engagement type:Freelance Project name:Project SignalStack Acceleration Expected utilization per week:35 hours Duration:32 weeks Mode of work:Hybrid Billing cycle:Weekly Academic qualification:Bachelor's or Master's Business industry:IT Budget (hourly rate - minimum):USD 85/hr Budget (hourly rate - maximum):USD 125/hr Additional Comments:The client prefers consultants who can document delivery decisions clearly for non-technical stakeholders. The consultant should be available for scheduled in-person collaboration as needed. Design and productionize AI-enabled applications that combine LLM workflows, service orchestration, and cloud-native delivery. Northscale Analytics is hiring a Senior AI Engineer to support analytics modernization initiatives in the US market. The role will partner with product, engineering, analytics, and business stakeholders to deliver production-grade AI capabilities with measurable operational impact. Primary responsibilities: - Translate business workflows into technically feasible AI-enabled product requirements and delivery plans. - Design, build, test, and document production-quality components that support internal and customer-facing use cases. - Work closely with data, platform, and application teams to improve reliability, observability, and release quality. - Establish practical evaluation criteria, monitor performance, and identify opportunities for workflow refinement. - Communicate implementation tradeoffs, risk areas, and rollout readiness to technical and non-technical stakeholders. Primary client location:Austin, Texas, 78701
Lead Machine Learning Engineer
REMOTE
95 - 140
Client name (US based):Northscale Analytics How many openings do you have?:2 Job role:Lead Machine Learning Engineer Years of exp:8-12 years Must have skills:Machine learning, Workflow management, Retrieval-augmented generation (RAG), LangGraph, SQL Good to have skills:OpenAI / Anthropic / Gemini API integration, Experiment tracking (MLflow / Weights & Biases), Model monitoring, AI video generation & editing, Inference optimization (ONNX / TensorRT) Engagement type:Freelance Project name:Project SignalStack Modernization Expected utilization per week:40 hours Duration:6 months Mode of work:Remote Billing cycle:Weekly Academic qualification:Bachelor's or Master's Business industry:IT Budget (hourly rate - minimum):USD 95/hr Budget (hourly rate - maximum):USD 140/hr Additional Comments:Prior freelance delivery experience in client-facing environments is strongly preferred. Build, evaluate, and deploy predictive and generative models that support customer-facing and internal business workflows. Northscale Analytics is hiring a Lead Machine Learning Engineer to support analytics modernization initiatives in the US market. The role will partner with product, engineering, analytics, and business stakeholders to deliver production-grade AI capabilities with measurable operational impact. Primary responsibilities: - Translate business workflows into technically feasible AI-enabled product requirements and delivery plans. - Design, build, test, and document production-quality components that support internal and customer-facing use cases. - Work closely with data, platform, and application teams to improve reliability, observability, and release quality. - Establish practical evaluation criteria, monitor performance, and identify opportunities for workflow refinement. - Communicate implementation tradeoffs, risk areas, and rollout readiness to technical and non-technical stakeholders. Primary client location:Austin, Texas, 78701
Staff Senior AI Engineer
ONSITE
Des Moines, Iowa, United States
100 - 145
We are seeking a talented Staff Senior AI Engineer in the Agriculture industry. This is a onsite position. Responsibilities - Set AI vision and strategy to drive organizational impact. - Design and implement scalable AI architectures and solutions. - Lead cross-functional teams to deliver innovative AI initiatives. - Evaluate and optimize AI models for maximum performance. - Collaborate with stakeholders to align AI projects with business goals. - Mentor junior engineers and promote best practices in AI development. - Translate business workflows into technically feasible AI-enabled product requirements and delivery plans. - Design, build, test, and document production-quality components that support internal and customer-facing use cases. - Work closely with data, platform, and application teams to improve reliability, observability, and release quality. - Establish practical evaluation criteria, monitor performance, and identify opportunities for workflow refinement. - Communicate implementation tradeoffs, risk areas, and rollout readiness to technical and non-technical stakeholders. Must-Have Skills Expert in AI Strategy, Skilled in Architecture Design, Proficient with Big Data Technologies, Strong Change Leadership abilities, Experience in Computer Vision, Effective Cross-Functional Collaboration, Advanced Data Analysis skills, Knowledge of Deep Learning techniques, Conversational AI / chatbot development, Agentic systems, MLOps / AI platform engineering, Python, Context engineering Good-to-Have Skills Familiar with AI Ethics, Insight into Industry Regulations, Strong Business Acumen, Experience in Change Management, Knowledge of Global Market Strategy, Generative AI modeling, Pipeline orchestration (Kubeflow / Airflow / Prefect), Infrastructure as code (Terraform / Pulumi), Stable Diffusion / diffusion models, Object detection / segmentation (YOLO / DETR / SAM) Qualifications - Bachelor's or Master's Project Name Project FieldSense Acceleration Billing Cycle Weekly Additional Comments The client prefers consultants who can document delivery decisions clearly for non-technical stakeholders. Periodic onsite presence at the client office is mandatory.
Lead Healthcare AI Specialist
REMOTE
95 - 140
Client name (US based client name): Oakline Consumer Data How many openings do you have?: 2 Job role: Lead Healthcare AI Specialist Years of exp: 8-12 years Must have skills: MLOps / AI platform engineering, Data analysis, Amazon Web Services (AWS), Retrieval-augmented generation (RAG), Python Good to have skills: EU AI Act compliance, OpenAI / Anthropic / Gemini API integration, LLM evaluation frameworks, Infrastructure as code (Terraform / Pulumi), Stable Diffusion / diffusion models Engagement type: Freelance Project name: Project InsightLoop Expansion Expected utilization per week: 32 hours Duration: 6 months Mode of work: Remote Billing cycle: Weekly Academic qualification: Bachelor's Business industry: Consumer Analytics Budget (hourly rate - minimum): USD 95/hr Budget (hourly rate - maximum): USD 140/hr Additional Comments, if any: The assignment includes weekly status reviews with a US-based delivery lead. Develop compliant healthcare AI workflows for clinical text, operations reporting, and regulated review. Oakline Consumer Data is hiring a Lead Healthcare AI Specialist to support consumer analytics initiatives in the US market. The role will partner with product, engineering, analytics, and business stakeholders to deliver production-grade AI capabilities with measurable operational impact. Primary responsibilities: Translate business workflows into technically feasible AI-enabled product requirements and delivery plans. Design, build, test, and document production-quality components that support internal and customer-facing use cases. Work closely with data, platform, and application teams to improve reliability, observability, and release quality. Establish practical evaluation criteria, monitor performance, and identify opportunities for workflow refinement. Coordinate with clinical, privacy, and product stakeholders to maintain safe, documented, and operationally useful AI workflows. Primary client location: Minneapolis, Minnesota, 55402
Principal Applied GenAI Engineer
ONSITE
110 - 155
Client name (US based):Northscale Analytics How many openings do you have?:1 Job role:Principal Applied GenAI Engineer Years of exp:10-14 years Must have skills:Python, Scalability / systems design, Context engineering, LLM integration / AI application development, Automation Good to have skills:Vector databases, Containerization & Kubernetes, Voice AI / speech AI, AI image generation & editing, CRM integration for AI workflows Engagement type:Freelance Project name:Project SignalStack Expansion Expected utilization per week:32 hours Duration:9 months Mode of work:Onsite Billing cycle:Weekly Academic qualification:Bachelor's or Master's Business industry:IT Budget (hourly rate - minimum):USD 110/hr Budget (hourly rate - maximum):USD 155/hr Additional Comments:The assignment includes weekly status reviews with a US-based delivery lead. Periodic onsite presence at the client office is mandatory. Develop LLM-powered features with prompt orchestration, evaluation, and guardrails for enterprise use cases. Northscale Analytics is hiring a Principal Applied GenAI Engineer to support analytics modernization initiatives in the US market. The role will partner with product, engineering, analytics, and business stakeholders to deliver production-grade AI capabilities with measurable operational impact. Primary responsibilities: - Translate business workflows into technically feasible AI-enabled product requirements and delivery plans. - Implement LLM and agentic workflows with careful prompt design, retrieval patterns, tool use, fallback logic, and release discipline. - Work closely with data, platform, and application teams to improve reliability, observability, and release quality. - Establish practical evaluation criteria, monitor performance, and identify opportunities for workflow refinement. - Communicate implementation tradeoffs, risk areas, and rollout readiness to technical and non-technical stakeholders. Primary client location:Austin, Texas, 78701
Principal Ai Program Manager
ONSITE
110 - 155
Client name (US based): Oakline Consumer Data How many openings?: 1 Job role: Principal AI Program Manager Years of exp: 10-14 years Must have skills: AI governance / compliance, Data science, Natural language processing (NLP), Context engineering, Generative AI Good to have skills: Multimodal models, Vector databases, Pipeline orchestration (Kubeflow / Airflow / Prefect), Model monitoring, AI video generation & editing Engagement type: Freelance Project name: Project InsightLoop Rollout Expected utilization per week: 36 hours Duration: 9 months Mode of work: Onsite Billing cycle: Weekly Academic qualification: Bachelor's or Master's Business industry: Consumer Analytics Budget (hourly rate - minimum): USD 110/hr Budget (hourly rate - maximum): USD 155/hr Additional Comments, if any: The client values candidates who can balance experimentation speed with production discipline. Periodic onsite presence at the client office is mandatory. Coordinate delivery of AI workstreams across product, engineering, analytics, and governance functions. Oakline Consumer Data is hiring a Principal AI Program Manager to support consumer analytics initiatives in the US market. The role will partner with product, engineering, analytics, and business stakeholders to deliver production-grade AI capabilities with measurable operational impact. Primary responsibilities: Translate business workflows into technically feasible AI-enabled product requirements and delivery plans. Design, build, test, and document production-quality components that support internal and customer-facing use cases. Work closely with data, platform, and application teams to improve reliability, observability, and release quality. Establish practical evaluation criteria, monitor performance, and identify opportunities for workflow refinement. Communicate implementation tradeoffs, risk areas, and rollout readiness to technical and non-technical stakeholders. Primary client location: Minneapolis, Minnesota, 55402
Machine Learning Engineer
HYBRID
Des Moines, Iowa, United States
85 - 125
We are seeking a talented Machine Learning Engineer in the Agriculture industry. This is a hybrid position. Responsibilities - Lead the design and implementation of advanced machine learning algorithms and models. - Architect machine learning systems to optimize performance and scalability. - Collaborate with cross-functional teams to identify and prioritize AI initiatives. - Manage project timelines and budgets while ensuring alignment with business goals. - Conduct data analysis to derive actionable insights and improve machine learning solutions. - Mentor junior engineers and contribute to team development through knowledge sharing. - Translate business workflows into technically feasible AI-enabled product requirements and delivery plans. - Design, build, test, and document production-quality components that support internal and customer-facing use cases. - Work closely with data, platform, and application teams to improve reliability, observability, and release quality. - Establish practical evaluation criteria, monitor performance, and identify opportunities for workflow refinement. - Communicate implementation tradeoffs, risk areas, and rollout readiness to technical and non-technical stakeholders. Must-Have Skills Expert in Advanced Machine Learning, Skilled in Architecting ML Solutions, Proficient in Cloud Architecture, Experienced in Big Data Technologies, Strong API Development skills, Expertise in Complex Problem Solving, Proficient in AWS cloud services, AI data annotation & labeling, LangGraph, AI governance / compliance, Generative AI, AI agents / agentic AI Good-to-Have Skills Knowledge of AI Ethics, Familiar with AWS SageMaker, Experience with Advanced SQL, Understanding of CI/CD practices, Business Acumen for Analytics, OpenAI / Anthropic / Gemini API integration, Experiment tracking (MLflow / Weights & Biases), Model monitoring, AI video generation & editing, Inference optimization (ONNX / TensorRT) Qualifications - Bachelor's or Master's Original Job Title Senior Machine Learning Engineer Project Name Project FieldSense Modernization Billing Cycle Weekly Additional Comments Prior freelance delivery experience in client-facing environments is strongly preferred. The consultant should be available for scheduled in-person collaboration as needed.
110 - 155
Des Moines, Iowa, United States
