AI Lead Engineer

12 hours ago

Chennai Guindy, India Jobted IN C2 Full time

Overview: We are looking for Lead AI Engineers who can drive the architecture, design, and deployment of cutting-edge AI solutions across cloud-native platforms. You'll take the lead on agentic GenAI workflows, backend engineering, infrastructure automation, and LLM-driven products at scale. Responsibilities: - Agent Workflow Design: Architect and build agent-based AI systems that include planning, memory, function-calling, and tool execution using frameworks like CrewAI, AutoGen,LangGraph, LangChain, or custom orchestration. - Solution Engineering: Develop modular, scalable backend services using FastAPI, integrating LLMs into microservices and pipelines. - Multi-agent Orchestration: Design workflows that include function-calling, tool invocation, vector store retrieval, and conditional decision-making logic. - CI/CD: Own end-to-end deployment pipelines with GitHub Actions, including test validations. - Vector Database Integration: Implement vector-based retrieval systems (CromaDB, Milvus, Pinecone, Vertex AI) as part of Retrieval-Augmented Generation (RAG) strategies. Requirements: Must-Have Skills - 5+ years of experience in backend engineering with Python (FastAPI, Flask) and strong architectural understanding. - Proven track record of LLM-based development, especially with agentic workflows, multi-tool agents, and decision-making logic. - Experience building and deploying function-calling agents and workflows with LangChain, LlamaIndex, or LangGraph. - Proficiency in using vector databases like CromaDB, Milvus, Pinecone, or Vertex AI Vector Search. - Excellent leadership, technical writing, and stakeholder communication skills. Nice-to-Have Skills - Domain knowledge in telecom, cloud infrastructure automation, or enterprise AI accelerators. - Familiarity with observability and monitoring tools for AI workflows (e.g., LangFuse, Arize phoenix).

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