- Work model
- Office
- Experience
- 0-2 years
- Employment
- Full Time
- Compensation
- Not disclosed
- Technology signal
- 28 tags
Technology context
28Parsed from the vacancy text; ordered by relevance to this role.
Full listing
Role description
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