- Highly competitive compensation plus annual discretionary bonus
- 9% company pension contributions
- 30 days’ annual leave (extra five days for office-based employees)
- Free lunch and complimentary barista bar
G-Research is a leading quantitative research and technology firm based in London and Dallas. We bring together world-class researchers and engineers in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
The role
The Core AI team is a centralised infrastructure team within the AI Engineering department. We build, operate and scale the foundational platforms powering AI innovation across G-Research – including on-premises open model inference, model serving, AI developer experience tooling, centralised MCP servers and secure agent sandboxing. As an Engineer in Core AI you will work across four key areas:
- Infrastructure and serving – designing and operating on-premises model inference and serving platforms
- MCP server infrastructure – building centralised MCP servers providing secure, governed access to tools and data
- Security and sandboxing – infrastructure for safe execution of autonomous AI agents in regulated environments
- Developer AI experience – improving developer experience through seamless integrations and user-facing tools
Key responsibilities:
- Designing and operating model serving infrastructure, including inference pipelines and scheduling systems
- Building and running centralised MCP servers with secure, reliable access to enterprise tools and data
- Owning platform reliability, performance and scalability across Kubernetes-based infrastructure
- Building self-service tooling and APIs so teams can provision and consume AI infrastructure independently
- Integrating platform services with existing stacks with clear interfaces, monitoring and CI/CD
- Evaluating and adopting open-source technologies and emerging best practices
Who we are looking for
We value pragmatic engineers who combine deep infrastructure expertise with strong systems thinking and clear communication.
Essential skills and experience:
- Strong expertise in C# and Python, building distributed systems and platform-level software
- Deep Kubernetes expertise, including multi-tenant cluster operations and platform extensions
- Experience with Docker, Terraform and CI/CD in controlled or regulated environments
- Strong understanding of distributed systems – networking, storage, security and performance
- Experience with model serving and inference infrastructure – deployment, scaling and optimisation of open models
- Clear communication skills and high-quality technical documentation
Desirable skills and experience:
- Experience with MCP or similar platform services
- Familiarity with sandboxing and workload isolation technologies
- Experience in quantitative finance or low-latency systems
- AWS experience, particularly in hybrid environments
- Observability tooling such as Prometheus, Grafana or OpenTelemetry
- Contributions to open-source projects in relevant domains
Why apply
- Highly competitive compensation plus annual discretionary bonus and 9% pension contributions
- Comprehensive private health insurance (GP, dental, vision) and healthcare cash plan
- Enhanced support for health, fertility, family forming, maternity and menopause
- 30 days’ annual leave, enhanced family leave and back-up dependent care for children, adults and pets
- Season ticket loan, generous relocation and immigration assistance, cycle schemes and gym subsidies
- Free lunch and barista bar, regular socials, world-class guest speakers and an excellent work-life balance
Interview process
- Online application – reviewed by the Talent Acquisition team
- Stage one: technical interview
- Stage two: behavioural interview
- Stage three: further technical interviews
- Stage four: management interviews
Apply: Submit your application on the G-Research careers portal.