{"id":795998,"url":"https://alion.io/job/zinnov-agent-ai-engineer","title":"Agent / AI Engineer","company":{"id":685895,"name":"Zinnov","domain":"zinnov.com","url":"https://alion.io/company/zinnov","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":15,"ghost_share":0.133,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Azure","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-05-12T08:22:15Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-11-13T09:03:20Z","board_verified":true,"closed_at":null,"days_open":185,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":184},"description":"About Zinnov\nZinnov is a global management consulting firm that helps organizations make decisions that actually get used - and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face:\nWhere should we invest?\n\nHow do we scale globally?\n\nWhat capabilities will win in the next decade?\n\nOur work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven - not opinion-heavy slideware.\nAt Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity.\nZinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions - not just presentations.\n About the Role \nAs an Agent / AI Engineer, you will build the AI layer of the GCC Intelligence Platform-the conversational agent users interact with. You will own grounding, retrieval, persona routing, session state, and permission-aware querying so the agent stays accurate, secure, and tenant-safe. \nWhat You’ll Do \nLLM & Agent Integration \nIntegrate LLM APIs (e.g., AzureOpenAIor equivalent) for conversational workflows. Build a grounding layer that anchors responses to real platform data (not model guesses). \n• Maintain prompt templates across multiple personas and use-cases. \n\nRetrieval, Permissions & Security Boundaries \nImplement intent classification and persona routing to the right KPI views.Build the API handler that sets DB sessionvariables so RLS/ABAC policies enforce correctly. \n• Own JWT validation and permission registry lookups that control access. \n\nReliability & Cost Controls \nBuild session state management, safe retries, and failure handling.Implement token budgeting, tracking, and enforcement per tenant.\n• Improve accuracy baselines through structured evaluation and regression checks. \n\nWhat You Bring \nQualifications & Experience \n3+ years building with LLM APIs in production (OpenAI/Azure/Anthropic or similar).Experience shipping grounding/RAG systems to real users.\nStrong Python for agent logic, APIs, and prompt management. \n• Understanding of how auth/session context interacts with database queries. \n\nKey Skills \nPrompt engineering across user types and tasks.Accuracy-first mindset-grounded correctness as a constraint, not a feature.\n• Strong debugging and evaluation discipline. \n\nWhat Success Looks Like - Globalization Excellence (GE) \nAgent answers staygrounded-accuracyimproves and hallucinations reduce. Access is safe-tenant boundaries are respected every time. \nPersona routing feels natural-users get the right view, right detail, right format. \n• Costs stay controlled-token governance and caching/optimization reduce overrun risk. \n\nIf you enjoy building secure, grounded AI agents that executives can trust, and shipping AI systems with strong evaluation discipline - this role offers both impact and progression. \nZinnov is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive workplace. 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