Role Description

Primary Skills: LLMs, agents/orchestration, APIs, AI integrations, Prompt/versioning Description: AI Engineer (Agentic App Experience / LLM Integration) Summary: Engineer focused on delivering application features powered by agentic workflows, integrating with MLOps-managed agents, consuming LLM capabilities via an AI Gateway, and shipping reliable production experiences. Responsibilities

Build app-facing AI features that consume agentic workflows exposed by MLOps platforms
Integrate LLM capabilities via AI Gateway (routing, auth, policy controls, logging)
Implement orchestration patterns: tool/function calling, context handling, prompt/version management
Ensure production readiness: latency optimization, evals, guardrails, monitoring,



and incident support
Partner with security/compliance and platform teams to meet governance and data controls Must Have
Experience building production AI integrations (LLMs, agents/orchestration, APIs)
Robust engineering fundamentals: testing, observability, reliability, secure integration
Familiarity with prompt/versioning, evaluation methods, and safety/quality controls Nice to Have
Python + one backend language (Java/Node), vector search/RAG, LangGraph/LangChain, Azure/AWS AI services

Skills

Agentic AI, MLOps, Python, Node.js

📌 Lead I (Bengaluru)
🏢 UST
📍 Bengaluru