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

Faites partie des premiers candidats.
JR United Kingdom
Cambridge
À distance
GBP 70 000 - 100 000
Faites partie des premiers candidats.
Il y a 4 jours
Description du poste

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

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Client:

WMtech

Location:
Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

16.06.2025

Expiry Date:

31.07.2025

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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
  • Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred)

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

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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