Software Engineer

G-Research; Camden Town; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading quantitative finance firm in Camden Town is looking for Software Engineers to join their Core AI team. In this role, you will design and deliver scalable, reliable services that empower high-impact research using C# and Python. Ideal candidates will have a strong understanding of distributed systems and experience with AI tooling. This role offers competitive compensation, excellent work/life balance, and numerous benefits.

Benefits

Highly competitive compensation plus annual discretionary bonus

Lunch provided via Just Eat for Business

30 days' annual leave

9% company pension contributions

Comprehensive healthcare and life assurance

Qualifications

• Strong, production-grade programming skills in C# and Python or similar languages.
• Solid understanding of distributed systems concepts.
• Proven track record of delivering high-availability services.

Responsibilities

• Designing, building and operating platform services in C# and Python.
• Integrating and scaling RAG technologies.
• Collaborating with product and research teams.

Skills

C# programming

Python programming

Distributed systems understanding

AI engineering tooling

CI/CD practices

Education

Degree in Computer Science or related field

Tools

Docker

Kubernetes

Git

AWS

Azure

GCP

Job description

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world‑class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve.

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 looking for Software Engineers to join our Core AI subteam within the AI Engineering Group. The team's mission is to build, operate, and continuously evolve the core platforms that power every GenAI initiative across G‑Research, from RAG services used by the entire company to improving developer experience by introducing new tools, commercial or custom built, to our quants and engineers. As a member of the Core AI you will design and deliver scalable, reliable and secure services and tooling that enable researchers, data scientists, and application teams to develop, deploy, and monitor AI solutions quickly and safely.

Responsibilities

• Designing, building and operating platform services in C# and Python that provide common capabilities such as feature stores, vector search, prompt management and model hosting.
• Implementing orchestration workflows with tools such as LangGraph and Pydantic‑based data models to ensure type‑safe, auditable pipelines.
• Integrating and scaling RAG technologies to support huge embedding workloads.
• Collaborating with product and research teams to turn cutting‑edge prototypes into robust, production‑grade services.
• Championing engineering best practices, including version control, automated testing, CI/CD and observability, and embedding them into every platform component.
• Benchmarking and optimising latency, throughput and cost across on‑prem GPU clusters and cloud environments.
• Influencing G‑Research's AI strategy by evaluating vendor products, open‑source projects and industry trends, and advising on build‑vs‑buy decisions.
• Coaching and upskilling engineers across the firm in using platform APIs, SDKs and self‑service tooling effectively.

We value engineers who thrive on solving hard problems, enjoy working in polyglot codebases and care deeply about developer experience.

Qualifications

• Degree in Computer Science, Engineering or a related field, or equivalent professional experience.
• Strong, production‑grade programming skills in C# and Python or similar languages.
• Solid understanding of distributed systems concepts such as networking, storage, concurrency and fault tolerance.
• Familiarity with modern AI engineering tooling and patterns such as LangGraph/LangChain, Pydantic, FastAPI, MCP, RAG pipelines and agentic workflows.
• Proven track record of delivering high‑availability services and automating their testing and deployment, including Git, Docker, Kubernetes and CI/CD.
• Ability to translate abstract requirements into secure, scalable technical designs and to communicate those designs clearly.

Desirable

• Exposure to GPU scheduling, model‑parallel inference frameworks such as vLLM or TensorRT‑LLM, or serving LLMs in production.
• Experience operating hybrid on‑prem and cloud (AWS, Azure, GCP) environments at scale.
• Knowledge of performance‑critical programming, low‑latency networking or high‑frequency data processing.
• Contributions to open‑source AI infrastructure projects.

Benefits

• Highly competitive compensation plus annual discretionary bonus.
• Lunch provided (via Just Eat for Business) and dedicated barista bar.
• 30 days' annual leave.
• 9% 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. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.