• Architect, build and deploy full-stack Generative AI applications
• Lead the integration of LLMs and intelligent components into enterprise-grade platforms

• Develop and maintain backend systems, APIs, and frontends in alignment with engineering best practices
• Apply NLP techniques (summarisation, classification, entity extraction, etc.)
• Leverage classic ML approaches when appropriate to support GenAI use cases
• Collaborate with clients, product leads, and technical teams to scope and deliver solutions
• Guide junior engineers and contribute to internal capability building
• Contribute to reusable GenAI frameworks, IP, and delivery accelerators
• Stay ahead of evolving GenAI infrastructure, tools, and regulatory considerations

• Expertise in Generative AI, LLMs, embeddings, and retrieval-augmented generation methods
• Proven experience in software engineering roles, delivering complex AI/ML systems to production
• Strong understanding of NLP and classical machine learning techniques
• Demonstrated ability to work across the full stack: backend, APIs, and frontend interfaces
• Experience working in cloud-native environments (AWS preferred; Databricks a strong plus)
• Excellent architectural thinking, code quality, and performance mindset
• Strong consulting skills: ability to communicate technical concepts to non-technical stakeholders
• Comfortable working in agile, client-facing environments with autonomy and ownership
• Based in or able to commute to London when required for client or team sessions

• Remote-first working with flexibility around client needs
• Private health insurance
• Projects with global brands & public sector leaders, working on real-world impact
• Exclusive access to AWS & Databricks certifications, training, and partner tools
• A collaborative culture of technical excellence and continuous learning
• A lead role in shaping delivery standards and future AI practices
• Competitive salary, bonus structure, and long-term growth opportunities

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