Application Engineer - Home Office in London

We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity.

Together we're building a world-class platform to amplify our teams' most powerful ideas.

As part of our engineering team, you'll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.

The role We are building the AI layer that will transform how teams across the firm work, from quant research to engineering, risk and operations.

The Applied AI team sits at the centre of this effort.

We are a small, high-autonomy team focused on defining how AI should be used across the entire company and delivering it in practice.

We own a number of large high-impact projects end-to-end.

Working across areas such as retrieval and knowledge systems, multi-agent orchestration, evaluation and reliability and context engineering Taking AI systems from early prototypes to trusted, production-ready solutions Owning high-impact projects from initial concept through to production Partnering with teams across the firm to identifying problems and delivering scalable solutions Turning team-specific use cases into solutions that can be adopted more widely across the organisation Who are we looking for?

You are a strong software engineer who actively builds with modern AI technologies.

Hands-on experience building with LLMs in production, including agents, RAG pipelines, MCPs, tool-use, multi-step workflows.

You've used frameworks like Lang Graph, Pydantic AI or similar, and you know when to use them and when to throw them away Strong Python engineering skills.

Clean, testable, production-quality code Experience with context engineering, including retrieval strategies, prompt construction, information routing, memory Experience with evaluation and observability for AI systems.

You're comfortable embedding with a quant research team one month and an ops team the next Clear communication Fine-tuning or adapting foundation models, such as Lo RA and DPOComfort integrating with heterogeneous stacks, such as C#, C++, JVM, g RPC, Kubernetes Contributions to open-source AI projects, technical writing or conference talks.

We're looking for people who want to shape how an entire organisation works with AI.

Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar35 days annual leave9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle-to-work scheme Monthly company events G-Research is committed to cultivating and preserving an inclusive work environment.

We are an ideas-driven business and we place great value on diversity of experience and opinions.

If you have a disability or special need that requires accommodation please let us know in the relevant section Summary