Role description
Senior AI Engineer - LLM & Agentic Systems (Python)
Role Overview
We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions from architecture to deployment leveraging Python, modern LLM frameworks, and scalable system design.
Key Responsibilities
Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python
Design and implement RAG pipelines over enterprise data using embeddings and vector databases
Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain
Integrate AI systems with APIs, backend services, and cloud platforms
Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
Key Qualifications
Strong Python expertise with experience building and deploying production-grade backend systems
Hands-on experience developing applications using LLMs, including prompt engineering and orchestration
Proven experience with RAG architectures, embeddings, and vector databases
Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
Strong system design skills with experience building and scaling cloud-based applications
Skills
agentic ai,python,agentic systems,embeddings,rag,llm,vector databases,backend services
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.
