Senior AI Engineer - LLM & Agentic Systems (Python)

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UST is seeking a Senior AI Engineer to design and build production-grade LLM-powered applications and agentic systems. This role involves end-to-end development from architecture to deployment using Python, modern LLM frameworks, and scalable system design. The engineer will implement RAG pipelines, build multi-step agents, and integrate with cloud platforms.

• 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)

• 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