{"id":1265824,"url":"https://alion.io/job/fx31-labs-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":3801533,"name":"Fx31 Labs","domain":"fx31labs.com","url":"https://alion.io/company/fx31-labs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Hyderabad, India","Chennai, India","Kolkata, India","Pune, 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deployment on cloud platforms.\n\nKey Responsibilities : \n\n- Design and build LLM-powered agentic systems capable of planning, reasoning, tool usage, and multi-step workflow execution.\n\n- Develop orchestration pipelines using LangGraph, LangChain, or Semantic Kernel.\n\n- Implement agentic patterns including Planner-Executor, ReAct, Supervisor-Worker, and Multi-Agent Collaboration.\n\n- Create and maintain reusable Agentic Skills, tool integrations, memory systems, checkpoints, and task-tracking mechanisms.\n\n- Lead prompt engineering efforts including system prompts, tool/function calling, structured outputs, guardrails, and instruction tuning.\n\n- Integrate APIs, enterprise services, search systems, and external tools into agent workflows.\n\n- Implement automated testing, evaluation frameworks, observability, tracing, monitoring, and cost optimization.\n\n- Ensure enterprise-grade security through prompt injection protection, RBAC, sandboxing, audit logging, and input/output validation.\n\n- Translate business requirements into technical designs, HLDs, LLDs, and scalable AI architectures.\n\n- Drive innovation by researching and implementing emerging Agentic AI techniques and best practices.\n\nRequired Skills : \n\n- Strong hands-on experience with Prompt Engineering and Agentic AI development.\n\n- Expertise in LangGraph, LangChain, Semantic Kernel, or similar orchestration frameworks.\n\n- Experience with context engineering, memory management, state management, checkpoints, scratchpads, and task orchestration.\n\n- Proficiency in Python (preferred) or TypeScript/JavaScript.\n\n- Experience with RAG, hybrid retrieval, reranking, chunking, and vector databases (Pinecone, FAISS, Azure AI Search, etc.).\n\n- Knowledge of GitHub, DevOps, CI/CD, enterprise code management, and cloud platforms (Azure, AWS, or GCP).\n\n- Experience building user-facing AI applications (chatbots, voice assistants, workflow automation).\n\n- Strong analytical, problem-solving, 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