Skills

Python Java Data Analysis GitHub CI/CD Docker Ansible Programming cloud platforms FastAPI OpenAI Langchain CI/CD Pipelines Terraform

Job Specifications

Key Responsibilities

Lead end-to-end solutioning of AI agents and 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
Collaborate with cross-functional teams to identify business problems and implement AI-driven solutions
Mentor operations staff on AI solutioning, prompt design, and best practices
Drive AI adoption 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

Technical Skills & Experience

Hands-on experience with LangChain & LangGraph 1.2.x
Familiarity with agentic design patterns (multi-agent workflows, supervisor/sub-agents, swarm patterns)
Experience with MCP servers and MCP clients
Experience with multi-threading in Python, including AsyncIO and non-blocking programming (nice to have)
Working knowledge of AI search, document intelligence, and generative AI models (OpenAI, Anthropic, Microsoft, Meta)
Development using Python, Java, and frameworks like FastAPI, integrating with APIs and cloud platforms
Implementation and management of CI/CD pipelines for secure and efficient deployment
Experience with Docker, GitHub, Ansible, and Terraform

About the Company

We provide recruitment, consulting and IT services for our clients, which focus on maximizing their revenue generation, enhancing business productivity and improving cost management. Know more