Lead Software Engineer - AI Agents & Platform

About the role

OFive is a technology and AI engineering company building intelligent software, AI agents and enterprise platforms. It is looking for an experienced, hands-on Lead Software Engineer to own day-to-day engineering execution across its AI agent ecosystem and an emerging enterprise software platform. Working alongside the Solution Architect, the role translates technical designs into working software, guides junior developers, reviews code and solves complex engineering challenges. It is a technical leadership position, not a purely managerial one.

Key responsibilities

• Own day-to-day technical execution, turn approved architecture and requirements into engineering tasks, and lead code reviews and technical discussions
• Mentor and guide junior software and AI engineers, and identify technical risks early
• Build backend services, APIs and integrations in TypeScript, Node.js and Python, with PostgreSQL databases, authentication, authorisation, role-based access control and tenant isolation
• Develop AI agents, integrate LLM providers, implement tool calling, workflow orchestration, state management and memory, and support shared agent infrastructure
• Integrate with enterprise platforms such as CRM systems and third-party APIs, and build configurable business rules and decision workflows
• Maintain code quality, security and performance, run automated tests, support CI/CD pipelines, troubleshoot production issues and keep technical documentation up to date

Required profile

• 5+ years of professional software engineering experience with substantial hands-on backend development
• Proven experience leading, mentoring or technically guiding other developers
• Ability to work independently from high-level designs and to turn complex technical ideas into production-ready software
• Strong communication, problem-solving and technical ownership

Required skills

• TypeScript, JavaScript and Node.js; practical Python for backend services or AI integrations
• PostgreSQL, relational data modelling and database optimisation
• REST APIs, webhooks, asynchronous processing and event-driven architectures
• Hands-on experience integrating LLMs or building AI agent workflows
• Git, code reviews, automated testing and CI/CD
• Highly desirable: Supabase, Docker, agent frameworks, MCP, multi-agent orchestration, multi-tenant SaaS, observability and audit logging

To apply, send your CV, GitHub profile or project examples and a short explanation of your experience leading technical delivery. Shortlisted candidates take a technical interview or test.