- Established scale-up with robust AI roadmap
- Technical leadership position building AI agents
- Competitive salary with flexible hybrid working model
I’m supporting an established scale-up that is investing heavily in intelligent automation and next-generation AI products. This is a rare opportunity to join a newly formed team as a
Lead AI Engineer, working on greenfield initiatives and shaping both the technical direction and long-term AI strategy.
You’ll be stepping into a high-impact role where you’ll build sophisticated AI systems, guide engineering decisions, and collaborate closely with product and platform teams. If you enjoy solving complex problems, designing production-ready ML solutions, and influencing architecture in an early-stage environment, this one will resonate.
What You’ll Do- Architect and develop AI systems that solve real business problems, from workflow automation to advanced agent-based intelligence.
- Build and refine AI/ML models using both traditional ML techniques and modern LLM-based approaches.
- Develop autonomous agents using tools such as Google ADK, LangGraph, or similar frameworks.
- Lead technical design and decision-making across the AI engineering domain, acting as the senior technical voice on the team.
- Deploy and productionise AI models, including monitoring, optimisation, and reliability engineering.
- Collaborate closely with data and platform engineers to ensure robust pipelines, scalable architectures, and dependable data foundations.
- Work hands-on across the core backend stack, primarily using Python and C# or related backend technologies.
- Contribute to the team’s engineering culture, ensuring best practices around testing, documentation, and performance.
What You’ll Bring- 7+ years’ experience delivering AI/ML systems in a production environment.
- Strong track record in a Tech Lead-style role (architecture, design, mentoring), without needing to manage people formally.
- Deep proficiency in Python and modern ML/LLM frameworks (e.g., PyTorch, TensorFlow, spaCy, scikit-learn).
- Experience building LLM-driven systems and autonomous agents.
- Strong understanding of MLOps, including CI/CD, orchestration, monitoring, and model lifecycle management.
- Experience working with and Google ADK (or similar agent/LLM toolkits).
- Solid grounding in traditional ML methods as well as cutting-edge generative approaches.
- Background in backend engineering, ideally with C# or a similar strongly typed language.
- Degree in Computer Science, AI, Statistics, or related field; postgraduate qualifications welcome but not essential.
We are looking to have this role filled ASAP and will move quick.