Tech lead python

WMtech; Greater Manchester; Remote; GBP 90,000 - 120,000; Full time

Job summary

A leading startup, focused on AI and wellbeing, seeks an AI Tech Lead to drive innovation and team growth. This role involves leadership in developing AI applications and mentoring engineers, with a focus on creating impactful solutions for high-stress industries. The ideal candidate has extensive software engineering experience and a passion for building a purpose-driven product.

Qualifications

• 7+ years of commercial software engineering experience with a strong backend focus.
• Proven ability to lead engineering projects and/or teams.
• Experience with LangGraph and AI product launches.

Responsibilities

• Lead and mentor a senior engineering team across backend and ML.
• Own technical direction focusing on scalability and performance.
• Define and uphold engineering best practices.

Skills

Leadership

Backend Development

Machine Learning

Software Engineering

Collaboration

Communication

Problem Solving

Education

BSc in Computer Science

Tools

Python

FastAPI

Docker

Terraform

MongoDB

Job description

Job Description:

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote

About the Role

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.

Backed by strong funding, this product-focused team of senior engineers operates in a low-ego, high-collaboration culture. The platform's first focus is on employee wellbeing in high-stress industries—and the mission is just getting started.

You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. This is a rare opportunity to build both product and team in a fast-moving environment with purpose at its core.

What You’ll Do

• 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.
• Write clean, maintainable code and contribute actively to the codebase.
• Define and uphold engineering best practices (code quality, CI/CD, observability, etc.).
• Collaborate closely with the CTO and product team to align technical delivery with strategic goals.
• Continuously improve team operations, development workflows, and developer experience.
• Play a key role in hiring and onboarding as the team grows.

What We’re Looking For

• 7+ years of commercial software engineering experience with a strong backend focus.
• Proven ability to lead engineering projects and/or teams.
• Experience with LangGraph, and a good understanding of agentic patterns (e.g. self-reflection, prompt/response-optimisation, multi-modal guardrails, cross-reflection, role-based cooperation)
• Hands-on experience in launching GenAI products, including agentic systems and multi-agent frameworks, driving real-world AI applications from concept to deployment.
• Experience in fast-paced or startup environments.
• BSc in Computer Science, Data Science, or related technical discipline.
• Strong communication skills and a bias toward action.

Technologies You’ll Work With

Experience in some or most of the following:

• Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools)
• AI: AgenticFlows, GenAI, LLMs, and multimodal systems
• Architecture: Microservices, RESTful APIs, async programming
• Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred)
• Datastores: MongoDB, Redis
• Monitoring/Tooling: Prometheus, Grafana, Sentry

The role is remote with occasional travel

Ready to lead and build with purpose?

If you're excited by the idea of applying your engineering skills to something meaningful, please send your CV to [emailprotected]

WMtech

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

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote

About the Role

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.

Backed by strong funding, this product-focused team of senior engineers operates in a low-ego, high-collaboration culture. The platform's first focus is on employee wellbeing in high-stress industries—and the mission is just getting started.

You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. This is a rare opportunity to build both product and team in a fast-moving environment with purpose at its core.

What You’ll Do

• 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.
• Write clean, maintainable code and contribute actively to the codebase.
• Define and uphold engineering best practices (code quality, CI/CD, observability, etc.).
• Collaborate closely with the CTO and product team to align technical delivery with strategic goals.
• Continuously improve team operations, development workflows, and developer experience.
• Play a key role in hiring and onboarding as the team grows.

What We’re Looking For

• 7+ years of commercial software engineering experience with a strong backend focus.
• Proven ability to lead engineering projects and/or teams.
• Experience with LangGraph, and a good understanding of agentic patterns (e.g. self-reflection, prompt/response-optimisation, multi-modal guardrails, cross-reflection, role-based cooperation)
• Hands-on experience in launching GenAI products, including agentic systems and multi-agent frameworks, driving real-world AI applications from concept to deployment.
• Experience in fast-paced or startup environments.
• BSc in Computer Science, Data Science, or related technical discipline.
• Strong communication skills and a bias toward action.

Technologies You’ll Work With

Experience in some or most of the following:

• Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools)
• AI: AgenticFlows, GenAI, LLMs, and multimodal systems
• Architecture: Microservices, RESTful APIs, async programming
• Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred)
• Datastores: MongoDB, Redis
• Monitoring/Tooling: Prometheus, Grafana, Sentry

The role is remote with occasional travel

Ready to lead and build with purpose?

If you're excited by the idea of applying your engineering skills to something meaningful, please send your CV to [emailprotected]

WMtech

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