Technical Lead - AI Product

You will oversee the development of AI-powered products, scalable infrastructure, and secure digital platforms that underpin our carbon intelligence solutions. This includes leveraging Large Language Models (LLMs) and AI tools to automate, enhance, and scale workflows related to project assessment, due diligence, risk analysis, and more.

Key Responsibilities

AI, LLMs & Automation

• Design and lead the development of LLM-powered tools to automate project evaluation, documentation analysis, risk scoring, and user interaction.
• Oversee integration of proprietary and open-source LLMs (e.g. OpenAI, Claude, Mistral) into platform features (e.g., smart assistants, document summarization, compliance checking).
• Build scalable AI infrastructure to support inference, training, prompt engineering and API integration.

Product & Platform Development

• Architect scalable, secure backend systems to support carbon project onboarding, market access, and data tracking.
• Manage development of APIs, data pipelines, and integrations with registries, satellite data, MRV tools, and climate datasets.
• Ensure seamless user experiences across developer, buyer, and auditor interfaces.

Team Management & Delivery

• Recruit, manage, and mentor top-tier engineering, AI/ML, and DevOps talent.
• Deliver high-quality, on-time product releases across multiple agile teams.
• Balance technical debt, security, and feature velocity in a fast-paced environment.

Security, Infrastructure & Compliance

• Ensure best practices in cloud infrastructure, security, data privacy, and compliance
• with relevant standards (e.g. ISO, SOC2, carbon certification bodies).

Requirements

• 10+ years of experience in technology lead roles (startup or scale-up preferred).
• Current and on-going mastery in writing and reviewing code
• Overseeing scrum teams, engineers, and ensuring reliable delivery of sprints, change management of features and bug fixes, and backlog.
• Ability to wear multiple hats such as individual contributor, team lead, solution architect, facilitator.
• Expert knowledge of mainstream cloud provider (eg AWS / firebase), Cloud-native services, and elastic infrastructure.
• Expert background in Javascript/Typescript technology stack, NodeJS, Next.js and NestJS, distributed systems, authentication mechanisms, asynchronous event processing, message queues, and architecture patterns.
• Knowledgeable on modern object orientated programming practices including entity frameworks, dynamic reflection, and reusable interfaces.
• Familiarity with 3rd party system integrations via APIs (HTTP/REST)
• Familiar with OWASP, secure by design, secure coding practices, code scanning, unit testing, dependency management (deprecation, vulnerabilities, licensing)
• Familiarity with DevOps, Infrastructure-as-Code including continuous integration, delivery, deployment and assurance.
• Experience in front-end React and JavaScript/Typescript presentation frameworks
• Experience with operating highly-available production financial systems
• Familiarity with SQL & NoSQL databases, DNS, service discovery, and related infrastructure components
• Hands-on experience building or integrating LLM- or AI-powered systems.
• Deep understanding of LLM APIs, vector databases (e.g. Pinecone, Weaviate), embeddings, prompt engineering, and RAG (Retrieval-Augmented Generation).
• Strong backend and infrastructure experience (e.g., Python, Node.js, Postgres, Kubernetes).
• Familiarity with geospatial data, carbon MRV systems, or environmental data is a strong plus.
• Excellent leadership, communication, and product-oriented mindset