Senior AI Engineer

Join a fast-growing technology organization and accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow.

Requirements

• Python expert with production experience building APIs/services (FastAPI/Flask/Django), REST/GraphQL
• Hands-on experience with agentic AI: LangChain and LangGraph (stateful workflows, planners, tools, memory, error handling, retries, concurrency)
• Proficiency in A2A (agent-to-agent) interaction patterns and multi-agent orchestration in production (e.g: AutoGen, CrewAI, etc).
• Experience with MCP (Model Context Protocol): building/consuming MCP tools/servers; integrating model-context tools safely
• LLM integration across major providers (OpenAI, Anthropic, Azure OpenAI); function/tool calling, structured outputs (JSON Schema), prompt engineering
• Expertise in Retrieval-augmented generation (RAG): embeddings, chunking, indexing; vector databases (Pinecone, Weaviate, Qdrant, FAISS); reranking basics
• Full-stack delivery: React/Next.js with TypeScript and component libraries; secure auth flows; building internal dashboards
• Cloud and DevOps: Docker, CI/CD (GitHub Actions/GitLab), at least one major cloud (AWS/Azure/GCP), secrets management, environment promotion
• Security/compliance for enterprise: OAuth/SSO, RBAC, audit logging, PII handling, encryption, least-privilege
• Testing and observability: pytest, integration/e2e tests, tracing/logging (OpenTelemetry), metrics, feature flags
• AI developer tools proficiency: GitHub Copilot and QDev (or similar), prompt/version management, code review with AI
• Strong Git workflows, code reviews, documentation; Agile delivery in cross-functional teams