Technical AI Developer

Verve

. Rapidly prototype new AI-enabled Vero tools, features and processes .

Posted 10/26/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong hands-on experience in Python and practical knowledge of AI concepts, including LLMs, RAG, and vector embeddings. Capable of rapidly prototyping AI-enabled tools and collaborating effectively with both technical and non-technical teams.

Highest-signal resume keywords

Python ProgrammingLLM DevelopmentAPI IntegrationRapid PrototypingAI Application Experimentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAPIsLLMsRAGVector EmbeddingsMCPAgentic PipelinesPrompt EngineeringTechnical ExperimentationDebugging

Soft Skills

Problem-Solving MindsetCollaborative WorkClear CommunicationGrowth MindsetComfort with Ambiguity

Tools & Technologies

ReactTypeScriptLovableAI ToolsEmerging Technologies

Certifications & Qualifications

Computer Science Degree

Industry Keywords

AI TechnologiesMarket ResearchBusiness ProcessesPrototypingEntrepreneurial Environments

Tech Stack

Tools & technologies

PythonReactTypeScript

About the role

Key responsibilities & impact

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 technologies and assess solutions to user and business problems
Run 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 performance and capability of existing Vero tools and workflows
Work with product and R&D colleagues to turn successful prototypes into production-ready solutions
Provide technical judgement on feasibility, scalability and implementation

Requirements

What you’ll need

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 of building and experimenting with AI applications
Practical problem-solving mindset
Comfortable experimenting with emerging technologies
Ability to balance speed of experimentation with scalable solutions
Comfortable working collaboratively with product and non-technical colleagues
Ability to explain technical decisions and complexity clearly
Growth mindset; comfortable with ambiguity and fast-moving entrepreneurial environments
Computer Science degree or similar preferred, but not required
Bonus: experience with React or TypeScript
Bonus: experience with rapid prototyping or low/no-code tools such as Lovable
Bonus: experience building AI tools for business processes
Bonus: experience taking early-stage AI experiments toward production
Bonus: experience in market research or insight sector

Benefits

Comp & perks

Exposure to cutting-edge AI tools and thinking — practical, not theoretical
Opportunity to build AI products that solve genuine business and insight problems
Working at the intersection of AI, technology, product and consultancy
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