Job Description
Hands on experience in LangChain and LangGraph 1.2.x
Good understanding of agentic design patterns including workflows and multi agent patterns such as supervisor sub agents and swarm
Writing evaluations for agentic systems using metric based approaches and LLM as judge
Hands on experience in MCP servers and MCP clients
Azure AI Foundry stack nice to have
Azure AI Search including semantic keyword and hybrid search
Azure Document Intelligence
Multithreading in Python nice to have including AsyncIO and non blocking programming
Lead end to end solutioning of AI agents and agentic workflows including design development testing and deployment
Build business cases conduct process reviews perform data analysis and document business requirements
Apply prompt and context engineering techniques to optimize AI model performance
Work with cutting edge Generative AI models such as OpenAI ChatGPT Anthropic Microsoft and Meta LLaMA
Develop and deploy AI solutions using Python Java and frameworks like FastAPI integrating with APIs and App Engine
Implement and manage CI CD pipelines for efficient and secure deployment
Ensure secure handling of API keys passwords and tokens across environments
Use Docker for containerization and GitHub for version control and collaborative development
Conduct testing of AI agents and workflows to ensure reliability accuracy and performance
Collaborate with cross functional teams to identify business problems and apply AI driven solutions
Mentor Operations staff on AI solutioning prompt design and best practices
Drive AI adoption across the Operations Practice through enablement sessions bootcamps and strategic initiatives
Execute rapid response AI projects with a focus on delivery and measurable business impact
Act as a subject matter expert and internal champion for AI capabilities
Experience with Ansible and Terraform
