About Verve
At Verve, we’re redefining how insight works in an AI-powered world — combining Human, Cultural and Artificial Intelligence to help clients act with greater speed and confidence.
Through Verve Vero — our AI-powered platform and consultancy ecosystem — we build AI-enabled insight tools, simulations and models that bring human truth into the heart of decision-making. From Verve Intelligent Personas & Simulations to bespoke solutions grounded in client data, everything we create is designed to enable confident decisions of consequence with real-world impact.
Our work spans categories and continents, helping global brands navigate complex challenges — from innovation and brand strategy to customer experience and future planning. We combine deep human understanding with AI to deliver insight that is faster, more scalable, and more actionable.
This is a hands-on environment. We move quickly, test and learn, and continuously build and refine the tools that power our work. Curiosity, experimentation and practical application sit at the heart of how we operate.
About the Role
If you’re a hands-on technical builder who wants to experiment with AI and turn ideas into working products — this is it.
As a Technical AI Developer in our R&D Lab, you’ll be responsible for bringing ideas to life — rapidly prototyping, testing emerging technologies and building the technical foundations of new Vero tools and processes.
This isn’t a role where you’ll simply oversee development. You’ll build.
You’ll work closely with our product team and wider R&D colleagues to explore what’s possible, test ideas quickly and turn the strongest experiments into robust, scalable solutions.
Your Contribution
- Rapidly prototype new AI-enabled Vero tools, features and processes
- Build and test solutions using Python, APIs, LLMs and emerging AI technologies
- Develop and experiment with RAG, vector embeddings, MCP and agentic pipelines
- Explore new technologies and assess where they can solve real user and business problems
- Run fast, lightweight technical experiments to test feasibility and value
- Build integrations between AI models, data sources and other services
- Test, debug and refine prototypes based on real-world use
- Improve the technical performance and capability of existing Vero tools and workflows
- Work with product and R&D colleagues to translate successful prototypes into production-ready solutions
- Bring technical judgement to decisions around feasibility, scalability and how things should be built
What We’re Looking For
- Strong, hands-on Python experience
- Practical experience building with LLMs and APIs
- Working knowledge of AI concepts and infrastructure including prompt engineering, RAG, MCP, vector embeddings and agentic pipelines
- Evidence that you’ve built and experimented with AI applications, not just worked alongside teams that have
- A practical problem-solving mindset — you like making things, testing them and figuring out why they don’t work
- Comfortable experimenting with emerging technologies where there may not yet be a clear playbook
- Able to balance speed of experimentation with building solutions that can ultimately scale
- Comfortable working collaboratively with product and other non-technical colleagues
- Able to explain technical decisions and complexity clearly
- A growth mindset — you’re comfortable with ambiguity, take initiative and thrive in fast-moving, entrepreneurial environments
- A Computer Science degree or similar is preferred, but not required.
Bonus Points For
- Experience building modern web applications, for example using React or TypeScript
- Experience using rapid prototyping or low/no-code tools such as Lovable
- Experience building AI tools that improve business processes or ways of working
- Experience taking early-stage AI experiments towards production
- Experience in the market research or insight sector
What We Offer
- Exposure to cutting-edge AI tools and thinking — practical, not theoretical
- The opportunity to build AI products that solve genuine business and insight problems
- Working at the intersection of AI, technology, product and consultancy
- A fast-paced, agile and empowering environment
- Autonomy to experiment, test, learn and influence how things get built
- Collaboration with an ambitious global team solving real-world problems
If you’re excited by the opportunity to build the tools shaping the future of AI-empowered consultancy — experimenting quickly, solving difficult technical problems and turning ideas into things people can actually use — we’d love to hear from you.
By applying to Verve, you acknowledge our use of AI-assisted tools to help screen applications against job-related criteria. All outcomes are reviewed by humans and are not determinative. You can request human review, express your views, or contest any assessment at any time via privacymanagement@addverve.com. Full details can be found in our Recruitment Privacy Notice.
Hands-on Python experience, practical LLM and API experience, knowledge of RAG, MCP, vector embeddings, agentic pipelines, and evidence of building AI applications.
Key Responsibilities
- prototyping AI tools
- building integrations
- testing solutions
Skills & Tools
Python, APIs, LLMs, RAG, MCP, vector embeddings, agentic pipelines, React, TypeScript, Lovable
Job Details
- Category: Software Development
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — United Kingdom
- Languages: English
About Verve
An AI-powered insight platform and consultancy combining human, cultural, and artificial intelligence. — Industry: Information Technology