Negotiable
Undetermined
Remote
Remote
Summary: We are seeking an AI / ML Engineer with expertise in Machine Learning, Generative AI, and intelligent AI agents to develop scalable AI solutions using Azure AI services and modern architectures. The role involves building intelligent AI agents, integrating them into applications, and improving their performance through various methodologies. The ideal candidate will work in a remote environment and collaborate with engineers and researchers on enterprise AI initiatives. This position is contract-based and focuses on innovation in AI solutions.
Key Responsibilities:
- Develop and deploy machine learning models using TensorFlow, PyTorch, or similar frameworks
- Build intelligent AI agents using LLMs, planning systems, and decision-making frameworks
- Design GenAI workflows and agentic systems for enterprise use cases
- Integrate AI agents into applications, APIs, and business workflows
- Build secure, scalable, production-grade AI systems with safety guardrails
- Improve agent performance using feedback loops, reinforcement learning, and evaluation frameworks
- Work on Azure AI ecosystem including Databricks, Fabric, and Microsoft AI Foundry
- Support backend services, model pipelines, and frontend integrations for AI platforms
- Rapidly prototype new AI solutions in an innovation-focused environment
- Collaborate with engineers, architects, and researchers on enterprise AI initiatives
Key Skills:
- Strong Python programming skills
- 3+ years with ML frameworks (TensorFlow / PyTorch / similar)
- 2+ years building AI agents / deployed ML systems
- LLMs, RAG, Prompt Engineering, Agentic AI
- Azure Cloud expertise
- Databricks / Fabric / AI Foundry
- Model deployment and MLOps concepts
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Location: USA (Remote)
Type: Contract
- Develop and deploy machine learning models using TensorFlow, PyTorch, or similar frameworks
- Build intelligent AI agents using LLMs, planning systems, and decision-making frameworks
- Design GenAI workflows and agentic systems for enterprise use cases
- Integrate AI agents into applications, APIs, and business workflows
- Build secure, scalable, production-grade AI systems with safety guardrails
- Improve agent performance using feedback loops, reinforcement learning, and evaluation frameworks
- Work on Azure AI ecosystem including Databricks, Fabric, and Microsoft AI Foundry
- Support backend services, model pipelines, and frontend integrations for AI platforms
- Rapidly prototype new AI solutions in an innovation-focused environment
- Collaborate with engineers, architects, and researchers on enterprise AI initiatives
- Strong Python programming skills
- 3+ years with ML frameworks (TensorFlow / PyTorch / similar)
- 2+ years building AI agents / deployed ML systems
- LLMs, RAG, Prompt Engineering, Agentic AI
- Azure Cloud expertise
- Databricks / Fabric / AI Foundry
- Model deployment and MLOps concepts
- Reinforcement Learning
- Vector Databases / RAG pipelines
- Full-stack development exposure
- Startup / fast-paced product engineering experience