Lead Software Engineer

• Lead the architecture of an AI-driven investment intelligence platform
• Stay hands-on across the entire stack, from frontend UX to backend services
• Collaborate closely with the CTO, data scientists, and product leadership
• Shape both the technical direction and the product itself
• Build and mentor a small, elite engineering team
• Set a high technical bar through example while driving strategy
• Explore and integrate emerging AI frameworks, tools, and blockchain technologies
• Ensure scalability, security, and reliability of the platform

Technologies:

• AI
• API
• Backend
• Blockchain
• CI/CD
• Cryptography
• CTO
• DevOps
• Frontend
• GCP
• Kafka
• LLM
• MongoDB
• NoSQL
• PostgreSQL
• Python
• React
• Security
• TDD
• TypeScript
• Web3
• microservices
• UX UI Design
• NodeJS
• Cloud
• Support

More:

We are an innovative fintech startup based in London, operating in a hybrid model with three days on-site. Our mission is to revolutionize the way investors analyze, access, and manage alternative assets through an AI-driven platform. We have successfully built our MVP and secured funding from experienced figures in fintech and financial services. As a Lead Software Engineer, you will play a pivotal role in shaping the technical foundation of our company while building a world-class engineering team. We offer a high-trust, high-ambition, and low-bureaucracy startup environment where you will have real ownership and impact from day one.

• 5+ years of professional software engineering experience
• 2+ years in a technical or team lead role
• Strong ownership mindset; executes and leads from the front
• Excellent communication and decision-making under ambiguity
• Proficient in Node.js, React, and TypeScript
• Experience with Python for AI workflows and automation
• Knowledge of microservices and distributed system design
• Familiarity with AI / LLM frameworks (e.g. LangChain, OpenAI API, Vertex, LiteLLM)
• Experience with GCP and DevOps best practices (monitoring, observability, CI/CD)
• Proficient in PostgreSQL and relational data modeling
• Familiarity with event-driven systems (Pub/Sub, Kafka) and NoSQL (e.g. MongoDB)
• Experience building and running production SaaS platforms
• Nice to Have:
• Knowledge of RAG, autonomous agents, or Model Context Protocol (MCP)
• Experience in TDD, Agile, and DevOps environments
• Familiarity with blockchain / Web3 integrations or tokenization frameworks
• Knowledge in cryptography, security, or distributed systems
• Background in fintech, asset management, or due-diligence automation