01Overview
Role description
Primary Skills: Agentic AI, Pytorch, RAG, ML, Gen AI Description: Key Responsibilities Build and deploy scalable LLM, RAG, and agent-based systems Architect LLM inference and deployment pipelines Optimize models for efficient and cost-effective production Collaborate with data science, research, and product teams Ensure clean code, testing, reproducibility, and CI/CD Mentor junior engineers and drive engineering best practices Ensure ethical, secure, and responsible AI development Required Skills Advanced Python with solid fundamentals in NumPy, Pandas, scikit-learn Deep learning expertise in PyTorch / TensorFlow Hands-on with LLM frameworks: Hugging Face Transformers, LangChain (prompting & fine-tuning) Robust experience with Agentic AI frameworks: AutoGen, CrewAI, LangGraph Expertise in RAG pipelines, semantic search, vector databases Solid software engineering practices: microservices, TDD, concurrency Ability to rapidly prototype and productionize GenAI solutions Good-to-Have Skills Model optimization: Quantization (GPTQ, AWQ), pruning, distillation Multimodal AI (text, vision, audio): CLIP, BLIP, Whisper, LLaVA LLM serving using FastAPI and vector DBs (FAISS, Pinecone, Chroma) CI/CD pipelines, Airflow, Docker, Kubernetes / Helm Cloud AI deployments on AWS / Azure / GCP (e.g., SageMaker) MLOps & tracking: Git, MLflow Data pipelines & ELT/ETL using Snowflake
Skills
Python, PyTorch, Agentic AI, RAG
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the worlds 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 impacttouching billions of lives in the process. .
