
Full Stack AI Engineer
2 weeks ago
Full-Stack AI Engineer (Intern or Full-Time)
Stack: Java/Spring (backend), React (web), Flutter (mobile), MCP, Python/Node, Docker
Location/Mode: Gurgaon
• Onsite/Hybrid
Role
Ship production AI agents (chat + voice) tightly integrated with our Java APIs via MCP. Own the pipeline end-to-end: prompts → tools → RAG → evals → deploy → observe.
Responsibilities
• Expose Java/Spring endpoints as MCP tools/servers; wire agents to use them safely.
• Build LLM agents (workflow/chat/voice IVR) with streaming UX in React/Flutter.
• Voice stack: ASR (Whisper/Cloud) + TTS + real-time audio.
• Data layer: embeddings, vector DB (pgvector/Pinecone/Weaviate), caching, rate-limits.
• Evals & guardrails: latency/cost metrics, prompt/versioning, safety/PII handling, logs/traces.
Must-Haves
• Evidence of shipped agents (links/GitHub): tool/function-calling, retrieval, or voice bot.
• Practical RAG & embeddings; REST/WebSockets; Docker; basic CI/CD.
• Comfortable reading Java/Spring; one runtime for AI services (Python or Node).
• SQL (Postgres) and queues/batch basics.
Nice-to-Have
• Direct MCP experience; local models (Ollama); OpenTelemetry; AB tests/feature flags.
• Flutter/React chat or voice component integration.
What to Submit
• Resume + GitHub + 1–2 live demos.
• 5-line summary of your most complex agent: architecture, evals, p95 latency, cost/session, and which Java endpoints/tools (or MCP design) it used.
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