Location: London, UK (Hybrid)
Duration: 3-6 Months
We are looking for an experienced GenAI Lead Engineer to lead the design, prototyping, and implementation of Generative AI solutions for a fast-paced consulting engagement. You'll work closely with business and technical stakeholders to identify opportunities, build PoCs/MVPs, and define a roadmap for future AI adoption.
Key Responsibilities
- Identify and prioritise high-impact GenAI use cases.
- Design end-to-end AI solution architectures.
- Build and deploy PoCs and MVPs, including copilots, chatbots, and AI-powered automation solutions.
- Develop RAG pipelines, integrate AI services with enterprise systems, and establish evaluation frameworks.
- Define governance, security, privacy, and compliance best practices.
- Mentor internal teams and provide documentation, knowledge transfer, and strategic recommendations.
Requirements
- 7 years' experience in Software Engineering, Data Engineering, or ML Engineering.
- 2 years' hands-on experience delivering LLM/Generative AI solutions.
- Strong Python and/or TypeScript/JavaScript skills.
- Experience with:
- LLM frameworks and APIs
- RAG architectures and vector databases
- AWS, Azure, or GCP
- Docker (Kubernetes advantageous)
- Strong understanding of prompt engineering, model evaluation, security, and AI governance.
- Proven ability to lead technical initiatives and engage with senior stakeholders.
Desirable
- Consulting or advisory experience.
- Experience with fine-tuning, LLMOps/MLOps tools, and enterprise integrations.
- Background in regulated industries such as financial services, healthcare, or telecoms.
