AI Engineer

Responsibilities: Design, build, and operate production-grade agentic and GenAI systems-end to end. You'll ship services (not just notebooks): robust APIs, reusable components, and secure pipelines that connect LLMs, tools, knowledge, and enterprise systems. You'll pair strong software engineering with modern AI practices (RAG, agent orchestration, policy chains, evals) to deliver measurable business outcomes at scale. Agent &Application Engineering - Design multi-agent systems (MAS) with planning, tool-use, and delegation (e.g.,LangGraph/Semantic Kernel) expose them via REST/gRPC APIs(FastAPI/Express/Java/Go). - Implement tool adapters (SQL, search, document stores, web calls, code exec) with strict type contracts and safe sandboxes. - Build model gateway integrations (OpenAI/Azure OpenAI/Bedrock/Vertex self-hosted vLLM/TGI) with routing, rate-limits, retries, and fallback chains. Retrieval, Data& Knowledge - Standup RAG services: chunking, enrichment, embeddings, indexing, hybrid/vec...