Full Stack Engineer (Java & Python AI) US Client - HYBRID

About the role

We are seeking an engineer who is exceptional in Java Spring boot, experienced with web frameworks (Flask, FastAPI, Django), comfortable building frontends (React, Angular), and capable of delivering production-grade GenAI solutions (LLMs, RAG, Agents/Agentic AI, MCP, guardrails). You will design, build, and operate services and applications that leverage modern AI patterns with strong software craftsmanship.

Key responsibilities

• Lead a team of Offshore Engineers and deliver successful iterations of AI initiatives.
• Build backend services in Spring boot, Python using Flask, FastAPI, or Django; design clean APIs, background jobs, and integrations.
• Develop user interfaces with React or Angular; collaborate on UX and component libraries; ensure accessibility and performance.
• Own quality with PyTest (including fixtures, parametrization, coverage), integration tests, and contract tests; enable CI test automation.
• Ship GenAI features: design prompts, tools, memories, and workflows, implement RAG pipelines, orchestrate agentic systems.
• Productionize AI with guardrails for safety, compliance, observability, and fallback strategies; measure quality (latency, cost, accuracy).
• Work across data layers: vector stores, embeddings, caching, and secure connectors; uphold data privacy and governance.
• Collaborate with product, design, and platform teams, review code, architect solutions, document decisions, and mentor peers.

About you

• 10+ years of experience in design, development, and triaging for large, complex systems.
• Experience in Java and object-oriented design skills.
• 5+ years of microservices development.
• 3+ years working in Spring boot.
• Experienced using API dev tools like Intellij/Eclipse, Postman, Git, Cucumber.
• Hands on experience in building microservices based applications using Spring boot and REST, JSON.
• DevOps understanding – containers, cloud, automation, security, configuration management, CI/CD experience in streaming technologies like Apache Kafka.
• Expert-level Spring boot and Python (typing, async, packaging, linting: black/ruff/flake8, performance profiling).
• Web frameworks: Flask, FastAPI, Django (routing, middleware, ORM, auth, background tasks).
• API design (REST/JSON), OpenAPI/Swagger, pagination, idempotency; secure patterns (OAuth/OIDC, JWT, RBAC).