Responsibilities:

Develop Java/Spring Boot micro-services that power LLM and agentic workflows in production
Build RAG pipelines and agents. tune retrieval, design tools, control flow, add human-in-the-loop gates.
Ship every AI feature with evals: golden datasets, regression suites, accuracy thresholds
Add guardrails, human review, and audit trails for AI-assisted decisions
Own reliability and cost: latency, token spend, caching, fallbacks
Work with product, platform, and governance through design and release reviews.

Qualifications/Criteria:

Bachelor’s degree in Computer Science, Engineering, Information Technology, or related technical discipline.
3 to 6 years of production Java/ Spring Boot, distributed-systems fundamentals: REST/gRPC,
Solid foundation in software engineering, distributed systems, data structures, algorithms, and system design.
Nice to have :



AI/ML or Generative AI certifications from recognized cloud or technology providers.
Demonstrated continuous learning through technical contributions, open-source projects pr publications
Has shipped an LLM-backed feature: model APIs, prompt design, RAG fundamentals- chunking, embeddings, vector search.
Hands-on with at least one SDK- Claude Agent SDK, OpenAI Agents SDK, LangGraph, Spring AI, LangChain4j.
Extends the harness with custom skills, hooks, subagents, and MCP servers. Manages unit economics and reliability: token and latency budgets, caching, step budgets, loop detection, fallbacks.
Builds for security: prompt injection defense, output validation, least-privilege tools

📌 Snr. AI Engineer/ AI Engineer (India)
🏢 HealthRecon Connect
📍 India