AI Engineer
Tangible
Software Engineering, Data Science
GBP 85-95 / year + Equity
Posted on Aug 11, 2025
AI Engineer
Location: London
Employment Type: Full-time
Compensation : £85-95 + Equity package
Role Overview
An AI Engineer builds applications that leverage large language models (LLMs) and other foundation models, creating user-facing products and features by integrating these models into software applications. This role sits between traditional software engineering and ML engineering, typically closer to software engineering but with specialised AI knowledge.
Growing Into This Role as a Full-Stack Engineer:
If you're a full-stack engineer wondering whether you're qualified for AI engineering, the answer is likely yes. Most of AI engineering is familiar territory: integrating APIs, building user interfaces, managing databases, and handling asynchronous operations. The main difference is that instead of calling Slack or Twilio, you're calling Gemini or Claude. Your experience with unpredictable third-party APIs, performance optimisation, and building responsive user experiences translates directly. You don't need a machine learning PhD – you need solid engineering fundamentals and curiosity about new tools. The AI-specific concepts (prompt engineering, embeddings, vector databases) are learnable skills, not academic prerequisites
About Tangible
Tangible is a seed stage climate / fintech startup looking to unlock critical capital for hard tech innovators. Our platform offers tools to help these companies all a the way through their financing journey. We are a small and nimble team, passionate about seeing these hardware companies succeed. The company has 3 co-founders with a mix of product, technology and capital markets expertise. You can read more on our thesis here.
Key Responsibilities
Design and implement AI-powered features and applications using LLMs and other foundation models
Evaluate and select appropriate models for specific use cases
Implement techniques like Retrieval-Augmented Generation (RAG), prompt engineering, and AI workflows or agents
Build and manage vector databases for efficient embeddings data storage and retrieval
Create and maintain AI tooling infrastructure
Develop and maintain automated evaluation pipelines to measure AI feature performance
Handle LLM-specific challenges like non-deterministic outputs, latency, and privacy
Optimise for AI inference costs while maintaining quality
Technical Skills
Strong software engineering fundamentals
Experience with AI observability tools (e.g. Langfuse, OTEL) and automated evaluation pipelines
Knowledge of vector databases (e.g. Postgres with pgvector, Pinecone)
Familiarity with cloud AI services (e.g. AWS Bedrock, GCP Vertex AI)
Understanding of prompt and context engineering techniques
Experience with Python and JavaScript for AI application development
Experience with frontend frameworks (e.g. React, Vue) for AI UX implementation
Soft Skills
Domain understanding to assess output quality in subjective scenarios
Ability to iterate rapidly with non-deterministic systems
Comfort with ambiguity and the "vibes-based" nature of AI development
Creative problem-solving to use AI capabilities effectively
Strong communication skills to educate stakeholders on AI capabilities
Ability to balance innovation with responsible AI use
How is this different from ML/Data roles
Focus on application integration rather than model training
Emphasis on product features and user experience
Typically works with existing foundation models via APIs (or running open models)
"Fire, ready, aim" approach: prototype first, collect specific data later
Software-centric workflows rather than data science pipelines
Integration rather than mathematical/statistical expertise
Success Metrics
Quality and performance of AI features
User satisfaction with AI-powered experiences
Inference cost efficiency
Responsible implementation with appropriate safeguards
Innovation in applying AI to solve real-world user problems
Why Join Us
Founding impact: Shape our design DNA and build something from zero to one
Mission-driven: Work on products that create positive climate impact
Growth opportunity: Lead design as we scale and potentially build a team
Competitive package: Equity stake reflecting your foundational contribution
Direct influence: Work closely with founders and have significant input on product direction
What does the hiring process look like?
Screening Calls
Introductory call with CPO & Founding Engineer~ 30 minutes
Follow up email, with feedback and initial questions
Interviews
Programming / Problem Solving session together with the founding product team. No preparation needed and ideally we do this in person in our London office. ~90 min
Follow up email, with feedback and questions
30 minute call with CEO to answer your questions on the company
Offer stage
Reference calls
Offer call
Ready to help us build the future of climate fintech?
Send us your resume, and a brief note about why you're excited about this opportunity to: careers@tangible.finance
Mission
Our mission is; Grow the global balance sheet dedicated to hard-tech companies
Read our CEO’s recent essay on the problem we are solving here: Capital intensity isn’t bad
Taking care of yourself
Health and happiness
We want to support your health and happiness. We’ll do everything we can to make sure our workplace is a source of fulfilment and inspiration. But we all need support outside of work too. Everyone's version of that is different, so we give you £100 per month to spend on what makes sense for you.
Time off
You get the time off you need. We trust you to support your team by resting as well as working. We want you to have control and be able to observe what’s important to you — including taking time off when your mind and body need a break. Some people need a bit more of a push when it comes to taking holiday, so your manager will make sure you take at least 25 days off a year and generally gloat about their latest hiking trip.
Effort and care
In a small team, we also rely on you to help your colleagues. That means checking in, following up when you notice signs of strain or stress, and being open and honest about your own feelings. The buck stops with Will and Seb when it comes to creating a happy company, but we will look to everyone to be kind, collegiate and caring.
Doing your best work
Push your limits
We have real dedication to our mission. We know that to realise it we need to push each other to do our best work. This means supporting and motivating each other to be braver and communicating clearly how we can each improve. We want to push past what you thought you were capable of.
Hybrid model
We are working in a hybrid first model where we meet on set days together in our London office. The rest of the days is up to you and we promote working from anywhere you want occasionally if that suits you. All we ask is that you log-on to to company update / standup meetings.
A collective
We’re inspired by co-working and co-living movements that create friendly, collegiate communities without constraining them too much. You’ll be joining Tangible’s collective, which connection, freedom, and a shared investment in all of us reaching our potential.