Lead AI Engineer

BeZero Carbonis a key player in the Voluntary Carbon Market as the world's leading ratings agency.

We aim to bring transparency and trust to this rapidly growing market, empowering everyone to price and manage risk effectively.

We're a dynamic climate tech startup with a team of brilliant minds spanning climate science, finance, earth observation, machine learning, and engineering.

We're building cutting-edge technology to analyse vast data and provide critical insights to carbon market players worldwide.

Join us and play a key role in enhancing our AI capabilities. This position provides a unique mix of independence and influence, enabling you to guide our approach to AI technology. You'll get to work with the latest advancements, create innovative solutions, and significantly impact how we utilise AI throughout our business.

This is your chance to be a pioneer.You can shape our AI strategy from the ground up and build impactful solutions to real-world problems.

Key Responsibilities

Collaborate

• Work closely with our engineering team, data scientists, and ML engineers to adapt our software architecture as we bring new AI-powered features to our products.

• Team up with our skilled software engineers to smoothly integrate AI-powered features into our systems, making sure they are scalable and efficient.

• Work closely with teams across the company to understand their needs and turn them into innovative AI solutions.

Develop & Deploy

• Launch LLM-based applications, testing and improving how well they work over time.

• Take charge of designing, building, and maintaining strong and scalable AI-based systems for retrieving, processing and presenting information to internal and external users.

Evaluate & Improve

• Assess the performance of AI models and systems through thorough testing and experiments.

• Keep up with the latest developments in (agentic) AI and machine learning research, and suggest improvements to BeZero's AI products.

Ensure Quality

• Put in place robust testing and continuous integration/continuous delivery (CI/CD) practices so we can confidently develop our AI systems.

About You

Experience

• You have experience bringing generative AI products to life in production systems.

• Hands-on expertise in designing and implementing retrieval-augmented generation (RAG) systems, and integrating LLMs with existing software.

Technical Skills

• Proficiency in at least one relevant programming language like Python, and experience with its frameworks.

• A deep understanding of prompt engineering techniques for large language models (LLMs) and vector databases

• A solid understanding of software development principles, including version control, testing, and continuous integration/continuous delivery (CI/CD) pipelines for deploying AI models.

Mindset

• Enthusiasm for keeping up with new AI technologies and exploring how they can improve our products.

What we’ll offer

• Competitive salary and opportunity for equity in a rapidly growing VC-backed start-up through share options

• Ability to learn and develop alongside a range of sector specialists from the scientific, economic and business community

• Opportunity to work in a cross-cutting role, interacting with lots of different parts of the business

• Growth opportunities that come from working at a fast-paced VC-backed technology business

• Opportunity to work remote in EU/UK or in our Central London office space with some flexibility over working location during the summer

• Regular social events

• 25 days leave (with additional time off between Christmas and New Year, and for your birthday)

• Private medical insurance, dental, critical illness cover, income protection, life assurance, medical cash plan, cycle to work scheme, and a health and wellness cash allowance

We value diversity at BeZero Carbon. We need a team that brings different perspectives and backgrounds together to build the tools needed to make the voluntary carbon market transparent. We are therefore committed to not discriminate based on race, religion, colour, national origin, sex, sexual orientation, gender identity, marital status, veteran status, age, or disability.

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