Senior Data and AI Engineer

develop; Greater London; Hybrid; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Hybrid work in London

Direct access to leadership

Autonomy and ownership

Job summary

develop is seeking a Senior Data & AI Engineer to design and deliver AI-powered solutions for client projects and internal products. The role combines practical AI implementation, data engineering, and scale-up software delivery in a highly collaborative environment.

You will own tasks from prompt engineering to production integration, evaluate outputs and mitigate hallucinations, and work with stakeholders across finance and investment domains.

Qualifications

• 4-5+ years of commercial software engineering experience.
• Experience building AI-powered applications using LLMs.
• Experience evaluating model outputs and mitigating hallucinations.
• Ability to communicate effectively with stakeholders and clients.
• Self-starter mentality with a high degree of ownership.
• Passion for AI and emerging technologies.
• Retrieval-Augmented Generation (RAG).
• Data engineering and large-scale data ingestion.
• Azure or Google Cloud.
• Financial services, ESG or investment industry exposure.
• Data modelling and architecture.

Responsibilities

• Build AI-powered solutions for client projects and internal products.
• Implement practical AI solutions including prompt engineering and evaluation.
• Integrate LLMs into production systems.
• Collaborate with stakeholders to solve complex business problems with data and AI.
• Influence technical direction and product development in a scale-up environment.

Skills

AI-powered applications

LLMs

Data engineering

Python

Stakeholder communication

Autonomy

RAG

Cloud (Azure/GCP)

Financial services exposure

Data modelling

Tools

Azure

Google Cloud

LLM tooling

Job description

Senior Data & AI Engineer | £60,000 - £75,000 (some flexibility for exceptional candidates) | Hybrid London (1-2 Days per Week) | Python, AI & Data

We're partnered with a growing AI and data consultancy that works with investment managers, pension schemes and financial institutions to deliver AI-powered products, data solutions and intelligent automation.

Following continued growth and investment in its technology function, the business is looking to expand its current team across junior to senior roles.

This is an opportunity to join a highly collaborative engineering team where AI is embedded into day-to-day development. You'll work on a combination of client projects and proprietary products, helping to solve complex problems using modern software engineering, data and AI technologies.

The Role

As a Senior Data & AI Engineer, you'll be responsible for building AI-powered solutions for both client projects and the consultancy's own products.

The role is heavily focused on practical AI implementation, including prompt engineering, output evaluation, reliability improvements and integrating LLMs into production systems.

You'll work closely with technical and non-technical stakeholders, helping to solve complex business problems using data and AI technologies.

This environment suits engineers who enjoy autonomy, ownership and working within a scale-up business where there is plenty of opportunity to influence outcomes.

Key Requirements

• 4-5+ years of commercial software engineering experience
• Experience building AI-powered applications using LLMs
• Experience evaluating model outputs and mitigating hallucinations
• Ability to communicate effectively with stakeholders and clients
• Self-starter mentality with a high degree of ownership
• Passion for AI and emerging technologies
• Retrieval-Augmented Generation (RAG)
• Data engineering and large-scale data ingestion
• Azure or Google Cloud
• Financial services, ESG or investment industry exposure
• Data modelling and architecture

Why Join?

• Work with cutting-edge AI technologies on real-world projects
• Join a growing consultancy at an exciting stage of its journey
• Opportunity to contribute to both client solutions and proprietary products
• Small, collaborative engineering team with direct access to leadership
• Modern engineering environment that actively embraces AI tools and workflows
• Genuine opportunity to influence technical direction and product development