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

WMtech
Bristol
2 weeks ago
Applications closed

Related Jobs

View all jobs

Co-Founder / CTO Opportunity – AI Tech Recruitment Start-Up

Co-Founder / CTO Opportunity – AI Tech Recruitment Start-Up

Head of Artificial Intelligence – Smart Manufacturing

Lead Data Insight Analyst

Lead Data Engineer

[23/04/2025] Machine Learning Engineer

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


About the Role


A mission-driven, early-stage startup is looking for anAI Tech Leadto 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


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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.