Founding AI Engineer, GenAI, LLMs, AI Agents

Founding AI Engineer, GenAI, LLMs, AI Agents.

London, UK (Remote or Hybrid).

£85-110k + high bonus, negotiable dependent on experience plus share options.

We are looking for a talented and visionary Founding AI Engineer to lead the technology strategy with a tiny UK-based AI startup developing a cutting-edge platform of AI Agents to revolutionise tax workflows.

As the company scales-up, the Founding AI Engineer will manage the full AI agent lifecycle, from design and model selection to building scalable systems, monitoring performance, and ensuring secure deployment.

This is a hands-on technical leadership role requiring you to build a robust enterprise-grade AI system.

You will need deep expertise in building agent-based AI systems, including multi-agent frameworks, reasoning, and memory modules, together with experience of integrating external tools and APIs into AI agents to enhance problem-solving and self-reflection capabilities.

You will be skilled in developing AI systems where agents collaborate, provide constructive feedback and improve their outputs through iterative processes.

Requirements:

• Ability to innovate and drive the technology vision, with a focus on the future of AI-driven productivity in enterprises.
• Strong hands-on expertise in AI technologies, cloud infrastructure, and operational challenges of scaling AI solutions.
• Proven ability to work cross-functionally with product, business, and operations teams.
• Agile thinker, solution-driven mindset, able to iterate quickly, methodical, calm, optimistic, rational

Technical skills:

• AI/ML expertise to include extensive experience with large language models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, natural language processing (NLP), reasoning algorithms, and multi-agent systems.
• OpenAI, LangChain, and Auto-GPT to drive tool-based agent execution
• Expertise in Python
• Expertise in Swagger, RESTful API design and development
• Microsoft Azure and/or AWS, containerization (Docker) and Kubernetes

Nice-to-haves:

• Experience in working with serverless architectures
• Strong experience with .NET framework, proficiency in JavaScript and Node.js, C++ or Go
• Decision Intelligence
• Expertise in integrating APIs and data sources
• Knowledge of SQL and NoSQL databases (e.g., MongoDB, PostgreSQL)
• Proficiency in CI/CD pipelines using tools like Jenkins, GitLab, or CircleCI
• Familiarity with performance monitoring tools like Prometheus, Grafana, and AWS CloudWatch