AI Architect

Requirements

• 10+Years
• 10 years in software engineering, including at least 8 years of hands-on work building LLM-powered or agentic applications (RAG, agent orchestration, tool/function calling, MCP, or similar - exact frameworks used may vary by past employer).
• Strong Python and experience building/maintaining microservices (FastAPI or equivalent).
• Practical exposure to at least one workflow orchestration engine (Temporal, Airflow, Camunda, or similar) - deep Temporal expertise is a plus, not a prerequisite.
• Working knowledge of vector and/or graph data stores (e.g., Qdrant, Pinecone, pgvector, Neo4j) and event streaming (Kafka or equivalent).
• Comfortable with containers/Kubernetes (any flavor - k3s, EKS, AKS, GKE) and standard CI/CD practices.
• LLM ecosystem familiarity: multi-provider usage (OpenAI, Anthropic, Bedrock, or Vertex AI), prompt/agent evaluation basics, and awareness of observability tooling for LLM apps (Langfuse, Phoenix, LangSmith, or similar).
• Prior exposure to presales/POC work - scoping, estimating, and demoing technical solutions to customers.
• Strong verbal and written communication; confident presenting to client stakeholders, including technical and semi-technical audiences.
• Experience informally leading or mentoring a small engineering team (6–8 engineers).

How to apply

• Send the resume by email.

Location

• Pune