Senior AI Developer
HybridReading, England, United Kingdom
Job Summary
Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services into production applications and architect LLM-powered features, agentic workflows, and MCP integrations to a production standard. Work directly with clients to understand requirements, shape solutions, and translate them into working software while providing technical leadership across engagements. Define and prove a mature, repeatable pattern for delivering AI solutions that can be scaled, establishing reusable tools and accelerators to increase delivery speed. Mentor and upskill other developers as the model transitions into the Delivery team, championing the adoption of AI-assisted development practices. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work.
Required Qualifications
- Extensive full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI.
- Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment.
- Experience with prompt engineering, RAG architectures, or agentic AI development at scale.
- Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor.
- Strong hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps).
- Demonstrable experience integrating LLMs and building AI-powered features in real-world applications.
- Ability to provide technical leadership - setting standards, mentoring others, and defining ways of working.
- Strong problem-solving mindset with a high bar for code quality and engineering rigour.
- Excellent communication and stakeholder management skills - able to explain technical concepts to non-technical audiences and build client confidence.
- Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery.
Desired Qualifications
- Azure AI Engineer certification or equivalent practical experience.
- Understanding of MCP, vector databases, and evaluation/testing approaches for AI systems.
- Experience mentoring or leading small development teams.
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