Junior AI/ML Engineer

Project description This is a great opportunity to work as part of a highly regarded team to deliver leading-edge solutions. Responsibilities Builds LLM-based agents for engineering workflows test selection, failure triage, root-cause analysis, defect categorisation, release readiness for a software validation and DevOps organisation. Skills Must have Python, SQL, Git LLM application work: RAG, prompt engineering, AI agents, embeddings, vector databases, LLM evaluation LangChain or LangGraph, FastAPI ML fundamentals: PyTorch, TensorFlow or scikit-learn, model training and evaluation background in software validation, QA automation, DevOps, SRE or developer productivity Experience: No years stated; level 1 in the title an early-career engineer who already ships LLM agents. Nice to have REST APIs and microservices Azure, AWS or GCP Docker and Kubernetes semiconductor or embedded environments Other Languages English: B2 Upper Intermediate Seniority Junior