Coreweaveu
AI Engineer (Agentic)
Salary not disclosed5+ yearsOnsite
- Engineering
- London
- Full time
- Today
About the role
The Physical AI Engineering Team is responsible for building and scaling the platform that powers advanced engineering simulation and AI workflows. As a Senior AI Engineer, you will design, build, and ship the agentic layer of the Physical AI platform, creating systems that explore data, build models, and provide actionable results for engineering teams. This is a hands-on production role focused on taking agentic approaches from research to reliable, scalable deployment.
Responsibilities
- Design and build agents that run auto-research loops on customer engineering problems.
- Define tool interfaces and MCP servers to expose platform capabilities to agents.
- Own context and memory design for long-running agent tasks.
- Build evaluation harnesses and benchmarks to measure agent performance and prevent regressions.
- Instrument agents with tracing and observability for production monitoring.
- Design guardrails, sandboxed code execution, and permission models for safe agent operation.
- Collaborate with ML engineers on model training, evaluation, and library development.
Required skills
- Python
- LLM APIs
- Agent frameworks
- MCP
- Evaluation design
- Machine Learning
- scikit-learn
- PyTorch
- Docker
- Kubernetes
- Cloud infrastructure
Nice to have
- Auto-research
- Data science agents
- Tabular data
- Time-series data
- Experiment tracking
- GPU infrastructure
- Workflow orchestration
- Fine-tuning
- Reinforcement learning
Qualifications
- 5+ years of professional software engineering experience
- 2+ years building production systems on top of LLMs
Benefits
- Family-level Medical Insurance
- Family-level Dental Insurance
- Pension Contribution
- Life Assurance
- Critical Illness Cover
- Employee Assistance Programme
- Tuition Reimbursement
About the Company
CoreWeave is a specialized cloud provider for AI, delivering a platform of technology, tools, and teams that enables innovators to build and scale AI. Founded in 2017, the company became publicly traded on Nasdaq in 2025 and is trusted by leading AI labs, startups, and global enterprises.