GenAI Architect
About the role
The GenAI Architect role is for an experienced AI Full Stack Engineer responsible for building and scaling production-grade autonomous software systems. The position involves integrating enterprise architecture, agentic AI, asynchronous backends, and real-time frontends. Key responsibilities include designing self-correcting multi-agent workflows, implementing memory and retrieval-augmented generation (RAG) systems, developing scalable backends and real-time frontends, managing data and state, implementing observability and guardrails, and handling DevOps tasks for deployment. The role requires expertise in a wide range of AI, backend, frontend, database, and DevOps technologies, as well as significant experience in full-stack development and deploying LLM/agentic applications.
Must have
- Full-stack development experience, including 2–3 years building and deploying production-grade LLM/agentic applications.
- Strong command of asynchronous runtimes, system design, and agent failure modes, including loops, context loss, and hallucinations.
- B.S./M.S. in Computer Science, AI, or equivalent practical experience.
Technologies
- Agentic AI
- Anthropic
- AutoGen
- AWS
- Azure
- CI/CD
- CrewAI
- Cursor
- DevOps
- Docker
- FastAPI
- GCP
- Generative AI
- GitHub
- GitHub Actions
- Kubernetes
- LangGraph
- LangSmith
- LLM
- LLMOps
- MCP
- Neo4j
- Next.js
- Node.js
- Observability
- Ollama
- OpenAI
- OpenTelemetry
- pgvector
- Pinecone
- PostgreSQL
- Python
- Qdrant
- RAG
- React
- Redis
- Tailwind CSS
- TypeScript
- Vector Databases
- vLLM
- Weaviate
- WebSockets
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