MACHINE LEARNING

Agent / AI Engineer

ZinnovKoramangala, Bangalore, Karnataka, India

Posted: 4 Sept 2026
Employment: full time
Work mode: unknown

<div class="content-intro"><h3 data-start="401" data-end="419">About Zinnov</h3> Zinnov 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: <ul data-start="732" data-end="840"> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;" data-start="732" data-end="759"> Where should we invest? </li> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;" data-start="760" data-end="789"> How do we scale globally? </li> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;" data-start="790" data-end="840"> What capabilities will win in the next decade? </li> </ul> Our work shapes market entry strategies, global operating models, M&amp;A decisions, and long-term growth bets. We’re known for being&nbsp;data-led, execution-focused, and outcome-driven&nbsp;— not opinion-heavy slideware. At 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&amp;D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media &amp; Telecom, and Private Equity. Zinnov 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.</div>&nbsp;About the Role&nbsp; As 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&nbsp;accurate, secure, and tenant-safe.&nbsp; What&nbsp;You’ll&nbsp;Do&nbsp; LLM &amp; Agent Integration&nbsp; <ul> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;"> Integrate LLM APIs (e.g., AzureOpenAIor equivalent) for conversational workflows.&nbsp; • Build a grounding layer that anchors responses to real platform data (not model guesses).&nbsp; •&nbsp;Maintain&nbsp;prompt templates across multiple personas and use-cases.&nbsp;</li> </ul> Retrieval, Permissions &amp; Security Boundaries&nbsp; <ul> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;"> Implement intent classification and persona routing to the right KPI views. • Build the API handler that sets DB sessionvariables&nbsp;so RLS/ABAC policies enforce correctly.&nbsp; • Own JWT validation and permission registry lookups that control access.&nbsp;</li> </ul> Reliability &amp; Cost Controls&nbsp; <ul> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;"> Build session state management, safe retries, and failure handling. • Implement token budgeting, tracking, and enforcement per tenant. • Improve accuracy baselines through structured evaluation and regression checks.&nbsp;</li> </ul> What You Bring&nbsp; Qualifications &amp; Experience&nbsp; <ul> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;"> 3+ years building with LLM APIs in production (OpenAI/Azure/Anthropic or similar). • Experience shipping grounding/RAG systems to real users. • Strong Python for agent logic, APIs, and prompt management.&nbsp; • Understanding of how auth/session context interacts with database queries.&nbsp;</li> </ul> Key Skills&nbsp; <ul> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;"> Prompt engineering across user types and tasks. • Accuracy-first mindset—grounded correctness as a constraint, not a feature. • Strong debugging and evaluation discipline.&nbsp;</li> </ul> What Success Looks Like – Globalization Excellence (GE)&nbsp; <ul> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;"> Agent answers staygrounded—accuracyimproves and hallucinations reduce.&nbsp; • Access is safe—tenant boundaries are respected every time.&nbsp; • Persona routing feels&nbsp;natural—users&nbsp;get the right view, right detail, right format.&nbsp; • Costs stay controlled—token governance and caching/optimization reduce overrun risk.&nbsp;</li> </ul> If 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.&nbsp;<div class="content-conclusion">Zinnov is an equal opportunity employer.&nbsp;We celebrate diversity and are committed to building an inclusive workplace. We welcome applications from individuals of all backgrounds, communities, and experiences.</div>