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Technical lead - software - remote

WMtech
Posted: 7 June
Offer description

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote
A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help shape a cutting-edge AI platform designed to drive real-world behaviour change and improve human performance and wellbeing.

You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. Lead and mentor a senior engineering team working across backend, ML, and infrastructure.
Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies
Own technical direction for core systems, focusing on scalability, performance, and reliability.
Define and uphold engineering best practices (code quality, CI/CD, observability, etc.).
7+ years of commercial software engineering experience with a strong backend focus.
~ Proven ability to lead engineering projects and/or teams.
~ Hands-on experience in launching GenAI products, including agentic systems and multi-agent frameworks, driving real-world AI applications from concept to deployment.
~ BSc in Computer Science, Data Science, or related technical discipline.
~ Technologies You’ll Work With
Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools)
AI: AgenticFlows, GenAI, LLMs, and multimodal systems
Microservices, RESTful APIs, async programming
Monitoring/Tooling: The role is remote with occasional travel

WMtech is trusted by leaders in the Cyber Security, AI and Enterprise Software sectors to advise on talent strategy specifically for Start-Ups. Our clients are heavily VC backed, unicorn status, pre-IPO start-ups with pioneering technology.

WMTech is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor

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