Lead I - ML Engineering

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) • Strong 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

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact - touching billions of lives in the process.