Applied AI Engineer: Build Production-Ready AI for Finance

G-Research; Greater London; On-site; GBP 120,000 - 170,000; Full time

Benefits offered by this job

Lunch provided

Barista bar

35 days annual leave

Pension contributions

Healthcare and life assurance

Job summary

G-Research in London seeks a strong software engineer to build the AI layer powering quantitative research. You will design scalable, production‑ready AI systems and collaborate with researchers, engineers and operations to accelerate discovery.

Key duties include turning prototypes into trusted solutions, owning high‑impact projects, and partnering across the firm to deliver reusable AI tooling and workflows.

Qualifications

• Hands-on experience building with LLMs in production, including agents, RAG pipelines, MCPs, tool-use, multi-step workflows.
• 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. Measuring accuracy, detecting regressions, understanding failure modes.
• The ability to work across domains. 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 LoRA and DPO.
• Comfort integrating with heterogeneous stacks, such as C#, C++, JVM, gRPC, Kubernetes.
• Contributions to open‑source AI projects, technical writing or conference talks.

Responsibilities

• 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

Skills

LLMs in production

Python engineering

Context engineering

Evaluation observability

Cross-domain work

Fine-tuning models

C# / C++ / JVM

Open-source contributions

Tools

LangGraph

Pydantic AI

Job description

G-Research in London seeks a strong software engineer to build the AI layer powering quantitative research. You will design scalable, production‑ready AI systems and collaborate with researchers, engineers and operations to accelerate discovery.

Key duties include turning prototypes into trusted solutions, owning high‑impact projects, and partnering across the firm to deliver reusable AI tooling and workflows.