UST is seeking a Senior Agentic AI Engineer / Architect to design, build, and deploy enterprise-scale AI solutions powered by LLMs, Agentic AI, and Multi-Agent Systems.
This is a hands-on role for someone who has moved beyond PoCs and has successfully delivered production-grade AI applications at scale. You’ll work closely with architects, engineers, and business stakeholders to solve complex challenges using the latest AI technologies.
What You’ll Do
Design and develop multi-agent AI systems using modern orchestration frameworks.
Build intelligent workflows leveraging agent planning, reasoning, memory, tool usage, and task delegation.
Deliver production-ready solutions using LLMs, RAG, and AI-powered automation.
Develop secure, scalable Python services, APIs, and orchestration layers.
Architect and optimise retrieval pipelines, vector search, embeddings, and knowledge systems.
Implement AI observability, evaluation, guardrails, monitoring, and governance.
Deploy and operate cloud-native solutions on AWS.
What We’re Looking For:
Proven experience building and deploying production-grade Generative AI or Agentic AI solutions.
Strong Python software engineering and backend development expertise.
Hands-on experience with multi-agent architectures and agent orchestration.
Experience with frameworks such as:
LangGraph
CrewAI
AutoGen
Semantic Kernel
OpenAI Agents SDK
LlamaIndex
Strong knowledge of:
LLMs and Prompt Engineering
RAG architectures
Vector Databases and Embeddings
APIs, Microservices, and Event-Driven Architectures
Experience deploying enterprise AI solutions within AWS environments.
Highly Desirable:
Experience architecting AI platforms at enterprise scale.
Knowledge of AI evaluation frameworks, observability, and governance.
Experience leading technical design and mentoring engineering teams.
Exposure to Kubernetes, Docker, and MLOps practices.
We’re grateful for your interest in joining us. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted for the next steps. Thank you for your understanding!
