Software Engineer (LLM Engineering), London
Tasks
- Architect LLM-integrated systems
- Build evaluation frameworks for probabilistic systems
- Build scalable secure platform components
- Collaborate with researchers on AI technical specifications
- Develop agentic tooling and IDE integrations
- Enable telemetry observability governance cost management
- Implement context management tool use RAG
- Implement generative AI infrastructure
- Route and optimize use of models
- Support fine tuning and RL for specialized models
Perks/Benefits
Skills/Tech-stack
Agentic coding | Cloud infrastructure | Context Management | Cost Management | Fine Tuning | Google Cloud | Governance | Infrastructure as Code | Language Models | Large Language Models | Machine Learning | Model Evaluation | Observability | Python | Reinforcement Learning | Retrieval-Augmented Generation | Routing | Security | Telemetry | Tool use | VLLM | “as-code”
Education
N/A
Roles
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