{"id":1280103,"url":"https://alion.io/job/infocusp-innovations-senior-llm-engineer","title":"Senior LLM Engineer","company":{"id":8784,"name":"InFoCusp Innovations","domain":"infocusp.com","url":"https://alion.io/company/infocusp-innovations","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":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Google ADK","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false},{"name":"Weaviate","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"Hugging Face","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Machine Learning","optional":true},{"name":"Neo4j","optional":true}],"status":"live","first_seen_at":"2026-08-20T12:16:40Z","employer_posted_date":null,"last_verified_at":"2026-08-20T12:16:40Z","board_verified":false,"closed_at":null,"days_open":53,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":53},"description":"About the Role:\n\nThe Senior LLM Engineer will lead the design, development, and deployment of complex, autonomous agentic AI solutions within production environments, working across multi-agent frameworks and orchestrating large language models. The position is for scalable applied AI, with a focus on delivering robust and fair agentic systems that deliver organizational value, autonomy, and operational efficiency.\n\nResponsibilities:\n\n- Architect, design, and deploy scalable agentic AI systems that coordinate LLMs, multi-agent collaboration, and external tool integrations through advanced tool calling.\n\n- Develop, maintain, and optimize AI-driven pipelines utilizing frameworks such as LangGraph, ADK and LangChain, enhancing data inference and orchestration.\n\n- Integrate agentic AI solutions into enterprise workflows, automating complex business functions (e.g., customer service, supply chain, decision support).\n\n- Proactively address system evaluation, debug AI agent workflows, and ensure compliance with emerging regulatory and ethical guidelines.\n\n- Promote security, transparency, fairness, and reliability across all deployed agentic systems.\n\n- Mentor junior engineers, contribute to cross-functional teams, and champion the adoption of state-of-the-art LLM technologies and practices.\n\nRequirements:\n\n- At least 1 year of experience with LangGraph (must have).\n\n- 4+ years of overall experience working on industry projects.\n\n- Experience with LangChain, and other agentic orchestration frameworks.\n\n- Deep proficiency in designing and deploying multi-agent frameworks and sophisticated tool-calling or API orchestration pipelines.\n\n- Design and implement continuous monitoring systems for autonomous AI agents, ensuring performance, reliability, adherence to ethical guardrails, and optimal cost/latency in production.\n\n- Develop and execute scalable LLM evaluation methodologies (including code-based, LLM-as-a-Judge) to rigorously assess model quality, safety, and goal alignment.\n\n- Proficiency in Python.\n\n- Familiarity with retrieval-augmented generation (RAG) and modern vector databases (Pinecone, Weaviate).\n\n- Experience with cloud platforms (AWS, GCP, Azure), MLOps practices, and production-grade deployment.\n\n- Strong understanding of data privacy, model security, and compliance with current AI regulations and frameworks.\n\nPreferred Skills:\n\n- Experience with Hugging Face, Neo4j, or knowledge graphs.\n\n- Background in autonomous decision-making systems, anomaly detection, and dynamic process optimization.\n\n- Track record of publishing, presenting, or open-sourcing agentic AI innovations.\n\n- Strong problem-solving aptitude, collaborative mindset, and excellent communication skills.\n\nLocation:\n\nAhmedabad/Pune.\n\nApplication:\n\nIf you would like to apply for this role, send your resume to .\nSkills\nGenerative AI, Python, LLM, RAG, LangChain, LangGraph, VectorDB, Machine Learning, Artificial 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