About the Role :

We are seeking a Senior Product Development AI Engineer - Full Stack with 5+ years of experience who can drive end-to-end product delivery while operating GenAI, agentic AI and MCP capabilities in production.

This role is hands-on: you will build customer-facing features across frontend and backend, define non-functional requirements, and ensure AI integrations are safe, reliable, measurable, and cost-effective.

Experience, Education, Skills, And Accomplishments :

- Strong web-focussed development skills

- Effective communicator at all levels, excellent inter-personal skills, strong business focus

- Highly self-motivated, confident to work on projects alone as well as in a team

- An enthusiastic approach to extending knowledge and learning new skills

- Strong commitment to quality of work and a good attention to detail

Tech Stack & Expertise :

- Java 11/17, Spring Boot (REST APIs, microservices)

- Microservices architecture (API contracts, versioning, service decomposition)

- Angular 18+, NodeJS (micro frontends)

- Scalable system design (event-driven, distributed systems)

- Non-functional architecture (latency, security, observability)

Must have experience in :

- End-to-end product delivery (UI - API - data - production support)

- Software design patterns

- RAG pipelines (chunking, embeddings, retrieval orchestration)

- Prompt engineering (few-shot, structured outputs, guardrails)

- AI assistants & agents (tool calling, workflows, memory patterns)

- AI evaluation (Ragas, prompt testing, regression evaluation)

- Production readiness (monitoring, alerting, incident response)

- Debugging distributed systems (logs, tracing, root cause analysis)

- Working with continuous integration environments

Good to have :

- AI integration (Azure OpenAI/OpenAI APIs)

- CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps)

- Vector databases (Azure AI Search, Pinecone, Weaviate, FAISS)

- Responsible AI (prompt injection defense, PII masking, policy enforcement)

- Experimentation (A/B testing, feature flags - Split.io)

- Platform thinking (shared AI services, reusable components)