Technical Lead

AI Software Engineering Lead - European Portfolio

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Remote (Europe)

My client is part of a global software group that acquires, builds and grows market-leading B2B software companies. Our portfolio includes 40+ software businesses across Europe and more than 250 companies worldwide , each serving specialised industries with mission-critical software.

As AI reshapes software engineering, we’re helping our portfolio companies transform how they build, maintain and deliver their products. Our focus is not on creating a central AI product or producing strategy in isolation. It is on working directly with engineering teams to implement AI-assisted development practices, modernise real software systems and deliver measurable improvements across the software development lifecycle.

We’re looking for a highly technical, hands-on AI Software Engineering Lead who can move comfortably between architecture, coding and engineering leadership. You will partner with CTOs and R&D leaders while also working directly with developers—building prototypes, integrating AI tooling, creating reusable implementation patterns and helping teams ship improvements into production.

What you’ll do

• Work hands-on with engineering teams to design, build, test and deploy AI-enabled software engineering solutions
• Develop production-quality prototypes, reference implementations and reusable components that portfolio companies can adopt
• Integrate coding agents, LLM-powered workflows and AI developer tools into existing repositories, CI/CD pipelines and engineering environments
• Apply AI across the SDLC, including requirements analysis, code generation, refactoring, automated testing, code review, documentation, release management and production operations
• Evaluate AI engineering tools through practical implementation, rather than vendor claims or theoretical assessments
• Modernise legacy applications and development workflows using appropriate AI-assisted techniques
• Build evaluation frameworks and automated tests to measure output quality, reliability, security, cost and performance
• Diagnose implementation challenges, remove technical blockers and help teams move from experimentation to reliable production use
• Establish practical patterns for prompt and context management, agent orchestration, observability, human review and failure handling
• Partner with CTOs and R&D leaders to identify high-impact opportunities and translate them into executable technical plans
• Assess engineering maturity using repository, workflow and delivery data—not solely workshops and interviews
• Measure the effect of new practices on delivery speed, developer productivity, software quality and operational performance
• Document and share proven architectures, code patterns, tools and lessons across the European portfolio
• Coach engineers through pairing, technical workshops, code reviews and direct participation in delivery

We’re looking for someone with

• Strong software engineering fundamentals and substantial experience building and operating production software
• Recent experience writing code and contributing directly to production engineering initiatives
• Practical experience introducing AI-assisted engineering practices into established software teams
• Experience integrating AI tooling into source-control, testing, CI/CD, observability and deployment environments
• Strong knowledge of modern software architecture, APIs, cloud platforms, containers and DevOps practices
• Experience evaluating AI systems for quality, accuracy, security, latency, cost and reliability
• The ability to review an unfamiliar codebase, identify improvement opportunities and implement a credible solution
• Sound judgment about where AI creates genuine value—and where deterministic software remains the better choice
• The ability to communicate architectural decisions and technical trade-offs to CTOs while remaining credible and useful to working engineers
• A track record xuezdbg of turning ambiguous objectives into working software and measurable results
• Curiosity, adaptability and a genuine passion for improving how software is built

What success looks like

• Portfolio engineering teams move from isolated AI experiments to repeatable production workflows
• Working implementations demonstrate measurable improvements in delivery speed, quality or developer experience
• AI-assisted practices become integrated into everyday engineering workflows
• Teams adopt secure, testable and maintainable patterns rather than relying on uncontrolled tool usage
• Successful solutions are documented, reused and adapted across multiple portfolio companies
• CTOs receive practical technical leadership backed by working code and delivery evidence

Why join?

• Work directly on real software products across 40+ businesses throughout Europe
• Combine hands-on engineering with portfolio-level technical influence
• Collaborate directly with CTOs, R&D leaders and software engineering teams
• Build and ship solutions across a wide variety of products, technologies and industries
• Create reusable engineering patterns with an impact beyond a single organisation
• Help define how established software businesses adopt AI safely, practically and at scale