Lead Software Engineer – Python, React & AI

Intelligent Talent Solutions · London, England ·

Full-timeHybrid
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Lead Software Engineer – Python, React & AI London | Hybrid Working | £80,000–£110,000 + Bonus + Benefits | Permanent Intelligent Talent is recruiting experienced Lead Software Engineers (Tech Leads / Technical Lead) for an established international professional services organisation investing in its internal software engineering and AI capabilities.

The business is developing new AI-powered products to change how complex legal and document-intensive work is delivered. This isn't a role focused on maintaining legacy applications or managing developers from a distance.

It's about building brand new products and software, making technical decisions and taking responsibility for getting products into production. You'll spend around 70–80% of your time hands-on, working with Python, React, TypeScript and modern AI technologies.

Alongside the engineering work, you'll provide technical leadership to a scrum team, influence architecture and help establish the engineering standards needed as the capability grows. The role The organisation is expanding its engineering teams to support increased investment in agentic AI and internally developed software products.

You'll take technical ownership of delivery, working alongside software engineers, product owners, architects and the wider cloud and platform teams.

Your responsibilities will include

Leading the technical delivery of new software products, from design and development through to deployment and ongoing support. Writing production-quality code using Python, TypeScript and React. Designing and building applications that integrate Large Language Models (LLMs), Generative AI and agentic capabilities.

Making architectural and low-level design decisions, balancing technical quality with practical delivery requirements. Mentoring engineers and improving development practices through code reviews, pairing and technical guidance.

Working directly with users and product owners to understand requirements and translate them into working software. Improving engineering standards across testing, CI/CD, security and production reliability. Using AI-assisted development tools such as Claude Code and OpenAI Codex to improve engineering productivity without compromising code quality.

The team takes responsibility for the software it builds and runs. You'll need to think beyond the initial release and consider performance, support and long-term maintainability. The technology The core engineering environment includes: Backend: Python Frontend: React, TypeScript and JavaScript Cloud: Microsoft Azure Databases: PostgreSQL and Cosmos ...

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