About the Role
We’re looking for an Agentic AI engineer to join our AI Automation team, building internal AI-Automation applications. We create agentic solutions that help our internal users automate routine execution with AI, allowing them to focus more on tackling complex and high-level challenges, thus delivering more value to more clients. Your focus will mainly be on designing and deploying the agentic LLM orchestration of our solutions. Hands-on experience with full-stack web development and DevOps is a plus. The successful candidate will play a key role in building smarter, more efficient, and more reliable systems.
Mintel is the world's leading market intelligence agency and technology underpins our success. We help our clients understand consumers and consumer markets, and we aspire to provide the market intelligence behind every great business decision. Our technology allows us to deliver data, insights, and opinions in a compelling way to our clients across the globe.
Mintel is committed to building and supporting a diverse workforce, providing opportunities for all. We offer flexible working options and provide support, development and growth opportunities. We support a Hybrid working approach. Most of our colleagues work 1-2 days a week in our London office and the rest of the week remotely.
What You Will Do
- Design and implement stateful agentic workflows (using agentic frameworks like LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, MCP or custom Python/TypeScript solutions) that can plan, execute and self-correct.
- Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.
- Develop and architect advanced RAG (Retrieval-Augmented Generation) systems with our knowledge base.
- Collaborate in a dynamic Agile team, working closely with business stakeholders to understand needs and deliver solutions.
- Contribute to the team’s sprint goals, solving technical challenges both independently and through pair programming with your colleagues, while also collaborating with Engineers and Architects from other teams from time to time.
- Help your team to deliver high quality, reliable software via our code review and QA practices and contribute to the evolution of these over time.
- Make your voice heard when we’re discussing implementation trade-offs within the team or technical solution possibilities with our stakeholders.
What We Are Looking For
- Developers who have hands-on experience with agentic AI development (LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, MCP).
- Hands-on experience with Vector Databases & RAG (Snowflake, Azure AI search).
- Your solution will be integrated with the work of your full stack developer teammates. Hence, understanding (hands-on experience is a plus) of full stack development, front-end (React and TypeScript) back-end (Python with FastAPI or Django and SQL), security, and APIs is necessary.
- Applicants who are keen to contribute to both new feature development and system reliability and performance improvements.
- Basic understanding of DevOps with AWS and Azure is mandatory, hands-on experience is a plus.
- Hands-on experience with Agentic AI.
- Familiarity with building applications that utilise generative AI is nice to have.
- Quick learners who can adapt to new domains and technologies, continuously enhancing their skillset.
- Able to communicate technical concepts to diverse business stakeholders without losing essential context or relying on jargon.
- Ability to receive and implement feedback constructively.