[Hiring] Technical AI Developer @Verve

Role Description

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

Qualifications

• 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

Benefits

• 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