Description

Key Responsibilities

• Design and develop Python-based services and integration components.
• Develop AI-enabled workflows and intelligent orchestration capabilities.
• Integrate LLM/GenAI components with enterprise applications through APIs.
• Develop and support Agentic AI workflows, tool integrations, and service orchestration.
• Build reusable Python APIs and backend services.
• Integrate with Java microservices and other enterprise platforms.
• Support POC maturation and validation within the enterprise environment.
• Participate in end-to-end integration testing, troubleshooting, and stabilization.
• Work with containerized deployments and CI/CD pipelines.
• Support production readiness, monitoring, and operationalization of AI-enabled services.

Required Skills

• Strong hands-on Python development
• REST API development and integration
• Python backend frameworks such as FastAPI or Flask
• API/service orchestration
• Experience developing production-grade Python applications
• Git and CI/CD
• Unit/integration testing
• SQL and data handling

Strongly Preferred AI Skills

• GenAI / LLM application development
• Agentic AI / AI Agents
• LangChain and/or LangGraph
• LLM integration patterns
• Tool calling / function calling
• RAG concepts and implementation
• Prompt engineering and orchestration

Preferred Skills

• MCP (Model Context Protocol)
• Azure OpenAI or other enterprise LLM platforms
• Vector databases
• OpenShift / Kubernetes / Docker
• Enterprise application integration
• Observability and monitoring
• Banking / Fraud / Claims experience

Key Skills

Education

Bachelor's degree