Data & AI Engineer: Python, LLMs, End-to-End Ownership

develop; Greater London; Hybrid; GBP 57,000 - 77,000; Full time

Benefits offered by this job

Hybrid working

Discretionary bonus

Job summary

develop in London is seeking a Data & AI Engineer to own components of our AI-powered data platform, combining data, software and AI to deliver trusted assessments.

You will work at the intersection of Python, data engineering and applied AI, with ownership of end-to-end pipelines, evaluations and client-facing explanations. This role offers hybrid work with a clear path to senior engineering levels in a growing, collaborative team.

Qualifications

• Around 2–3 years’ professional experience in software or data engineering.
• Hands‑on experience building applications or workflows using LLM APIs.
• Experience with prompt design and some form of AI/LLM evaluation.
• Strong SQL skills and understanding of relational data modelling.
• Ability to explain how language models work, including their limitations, to non-technical audiences.
• Experience owning work end‑to‑end, including testing, deployment, monitoring, and documentation.
• Comfortable working in a small business where requirements and scope aren't always fully defined.
• Cloud experience, ideally Microsoft Azure.
• Experience with document processing or information extraction at scale.
• Financial services, investment management, or sustainability experience.
• Experience presenting technical work to non-technical stakeholders.

Responsibilities

• Own and develop components of AI-assisted assessment pipelines.
• Work across prompt design, quality assurance, evaluation, and citation checking.
• Build and maintain data ingestion pipelines and models using Python and PostgreSQL.
• Run evaluations of pipeline performance and use the results to improve outputs.
• Work with company, issuer, and portfolio data at scale.
• Contribute to the continued development of the company’s AI methodology.
• Own engineering work end‑to‑end, from development through testing and deployment.
• Monitor and troubleshoot pipelines to ensure reliability and accuracy.
• Maintain clear technical documentation.
• Review work from more junior engineers and help raise engineering standards.
• Contribute to technical decisions around how new functionality should be built.
• Explain AI methodologies and outputs clearly to non-technical colleagues.
• Help consultants understand what AI-generated assessments can and cannot tell them.
• Occasionally support senior colleagues in explaining technical concepts to clients.
• Translate complex technical concepts into clear, practical explanations.

Skills

Python

PostgreSQL

LLM APIs

Prompt design

AI evaluation

SQL

Azure

Git

Tools

Azure

Git

Job description

develop in London is seeking a Data & AI Engineer to own components of our AI-powered data platform, combining data, software and AI to deliver trusted assessments.

You will work at the intersection of Python, data engineering and applied AI, with ownership of end-to-end pipelines, evaluations and client-facing explanations. This role offers hybrid work with a clear path to senior engineering levels in a growing, collaborative team.