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.

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

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.