Hi ,
Greetings from Healthcare Triangle !!
We do have opening for our client,
Role : Gen AI Lead
Location : Minneapolis, MN
Duration : Long-term Contract
Job Description :
We are seeking an engineer who is exceptional in Python, 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). Candidate should be able to design, build, and operate services and applications that leverage modern AI patterns with strong software craftsmanship.
Responsibilities
Lead a team of Offshore Engineers and deliver successful iterations of AI initiatives.
Build backend services in 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.
Skills/technologies are required (please include the number of years of experience required) :
Python & Backend 11+ years of experience
- Expertlevel 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).
Frontend 3+ years of experience
- React or Angular: component design, state management, routing, forms, accessibility (WCAG), unit/e2e tests (Jest, Playwright).
- Build tooling: Vite/Webpack, npm/yarn.
GenAI / Agentic AI 1 year of experience
- LLM concepts: tokenization, context windows, embeddings, temperature/topp, system prompts, tool/function calling.
- RAG: ingestion pipelines, chunking strategies, metadata, types of RAG (basic, hierarchical, hybrid, multivector, agentrouted), evaluators.
- Agents & Agentic AI: planning/execution loops, tool orchestration, memory, multiagent collaboration, error handling.
- MCP (Model Context Protocol): designing tools/resources, host applications, capability negotiation, secure tool exposure.
- Guardrails: input/output filtering, policy enforcement, promptinjection resilience, PII controls, jailbreak detection, redteaming.
- Opensource frameworks: CrewAI, LangGraph/LangChain (nodes/edges, executors, runnables, toolkits). Familiarity with alternatives (Haystack, LlamaIndex) is a plus.
Data & Infra 3-5 years of experience
- Vector DBs, Relational DBs (PostgreSQL, MySQL) and Caching (Redis).
- Cloud & DevOps: containers (Docker), orchestration (Kubernetes), CI/CD, secrets management; monitoring/observability (logs, traces, metrics).
- Performance & cost management for LLM workloads. Batch vs. streaming jobs. Queuing (MQ, Kafka).
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