Zinnov
management consulting
Agent/AIEngineer
“Agent / AI Engineer at Zinnov. Skills: LLM API integration, grounding/RAG systems, Python, prompt engineering, accuracy, security boundaries, cost controls. Build the AI layer of the GCC Intelligence Platform. Integrate LLM APIs for conversational workflows”
What You'll Achieve.
Agent answers stay grounded—accuracy improves and hallucinations reduce; Access is safe—tenant boundaries are respected every time; Persona routing feels natural—users get the right view, right detail, right format; Costs stay controlled—token governance and caching/optimization reduce overrun risk; shipping AI systems with evaluation discipline
Industry & Context.
debugging; evaluation
What They're Looking For.
Must Have
3+ years building with LLM APIs in production (OpenAI/Azure/Anthropic or similar), Experience shipping grounding/RAG systems to real users, Python for agent logic, APIs, and prompt management, Understanding of how auth/session context interacts with database queries
What You'll Do.
Build the AI layer of the GCC Intelligence Platform
Integrate LLM APIs for conversational workflows
Build a grounding layer that anchors responses to real platform data
Maintain prompt templates across multiple personas and use-cases
Implement intent classification and persona routing
Build the API handler that sets DB session variables
Own JWT validation and permission registry lookups
Build session state management
Implement token budgeting
and enforcement per tenant
Improve accuracy baselines
How You'll Work.
Communication Scope
crisp communication
Applying for this Agent / AI Engineer role?
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