Team Lead AI Software Engineer in London
Team Lead AI Software Engineer

Team Lead AI Software Engineer in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead AI-driven software projects and mentor a team of engineers.
  • Company: Join team.blue, a leading digital enabler for SMBs across Europe.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Why this job: Shape the future of AI technology while making a real impact on businesses.
  • Qualifications: 5+ years in software engineering with strong Python skills and AI expertise.
  • Other info: Diverse and inclusive environment focused on sustainability and collaboration.

The predicted salary is between 36000 - 60000 £ per year.

The most trusted digital enabler, team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and empower businesses with innovative digital services.

team.blue is the market leader in enabling digital success for small and medium-sized businesses (SMBs) across Europe, catering to over 3 million customers in 25+ languages. Our mission is to make online business success simpler by providing our customers with all the tools and resources they need to excel online and remain ahead of the curve.

We are looking for a Team Lead AI Software Engineer to lead our AI-driven software projects and unlock the potential of GenAI across the team.blue Group. This role combines deep technical expertise with leadership and strategic thinking. You will guide a team in designing and implementing scalable AI systems, including APIs, RAG architectures, and agentic frameworks while shaping the future of our AI for SMBs. You’ll work in an agile environment, with the latest technologies including AI-based coding assistants and have the freedom to bring your ideas to life.

Key Responsibilities:
  • Lead and mentor a team of Applied AI Engineers, fostering growth, collaboration, and technical excellence.
  • Design and implement scalable AI powered software solutions, with a focus on APIs, RAG architectures, and agentic frameworks.
  • Build and deploy agentic AI systems using tools such as MCP servers and APIs.
  • Integrate AI software solutions into existing environments and workflows, ensuring seamless operation and optimal performance.
  • Test, monitor and deploy software solutions that meet business needs.
  • Participate in code reviews to ensure code quality and consistency.
  • Drive AI adoption across the organization as a recognized technical expert and thought leader.
Ideal Profile:
  • 5+ years of experience in software engineering, including 2+ years in a technical lead or management role.
  • Strong proficiency in Python (e.g. FastAPI, Flask) and expertise in microservices and event-driven architectures (e.g. Kafka, SSE, WebSocket).
  • Deep understanding of Large Language Models (LLMs) including fine-tuning, prompt engineering, and hands-on expertise with models such as GPT, Claude, Gemini.
  • Practical experience with vector databases (e.g. OpenSearch, FAISS) for similarity and semantic search.
  • Proven ability to deploy and scale RAG systems and AI agents in a production environment.
  • Skilled in implementing conversational AI systems using APIs such as OpenAI Chat Completion and Assistants.
  • Strong problem-solving, communication, and documentation skills, with the ability to collaborate effectively across teams.
Nice to Have:
  • Experience building multi-hop RAG systems with self-consistency and chain-of-thought prompting.
  • Knowledge of AIOps / MLOps best practices, including deploying and monitoring real-time inference models and ETL pipelines.
  • Experience with distributed data tools (e.g. Spark, Dask, Apache Beam).
  • Familiarity with cloud platform technologies (e.g. AWS, Azure, GCP).

At any stage, please be prepared to provide proof of eligibility to work in the country you’re applying for. Unfortunately, we are unable to support relocation packages or sponsorship visas.

Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.

At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals.

Team Lead AI Software Engineer in London employer: team.blue Global

At team.blue, we pride ourselves on being a leading digital enabler that empowers our employees to innovate and excel in a collaborative environment. With a strong focus on diversity and inclusion, we foster a culture where every voice is valued, and our commitment to employee growth is evident through mentorship and leadership opportunities. Located in a vibrant tech hub, we offer access to cutting-edge technologies and the chance to shape the future of AI for small and medium-sized businesses across Europe.
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Contact Detail:

team.blue Global Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Team Lead AI Software Engineer in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI. A friendly chat can lead to insider info about job openings or even a referral.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects and contributions. This is your chance to demonstrate your expertise in Python, LLMs, and scalable systems to potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on your leadership and technical skills. Be ready to discuss how you've led teams and tackled complex AI challenges. We want to see your problem-solving prowess!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll be part of a team that values diversity and innovation in the digital space.

We think you need these skills to ace Team Lead AI Software Engineer in London

Leadership
Technical Expertise
AI Software Development
API Design
RAG Architectures
Agentic Frameworks
Python (FastAPI, Flask)
Microservices
Event-Driven Architectures (Kafka, SSE, WebSocket)
Large Language Models (LLMs)
Fine-Tuning and Prompt Engineering
Vector Databases (OpenSearch, FAISS)
Conversational AI Systems
Problem-Solving Skills
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your leadership experience and technical expertise in AI software engineering to catch our eye!

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to team.blue. Share specific examples of your past projects and how they align with our mission.

Showcase Your Technical Skills: Don’t shy away from detailing your proficiency in Python, microservices, and AI systems. We want to see your hands-on experience, so include relevant projects or achievements that demonstrate your capabilities.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!

How to prepare for a job interview at team.blue Global

✨Know Your Tech Inside Out

Make sure you brush up on your technical skills, especially in Python and AI frameworks. Be ready to discuss your experience with microservices, event-driven architectures, and large language models. The more you can demonstrate your expertise, the better!

✨Showcase Your Leadership Skills

As a Team Lead, you'll need to highlight your leadership experience. Prepare examples of how you've mentored teams or led projects in the past. This is your chance to show how you foster collaboration and drive technical excellence.

✨Prepare for Problem-Solving Questions

Expect to face some tricky problem-solving scenarios during the interview. Practice articulating your thought process clearly and logically. Use real-life examples from your previous work to illustrate how you tackled challenges in AI software development.

✨Align with Their Values

team.blue values diversity, inclusion, and sustainability. Familiarise yourself with their mission and be prepared to discuss how your personal values align with theirs. Showing that you resonate with their culture can set you apart from other candidates.

Team Lead AI Software Engineer in London
team.blue Global
Location: London
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  • Team Lead AI Software Engineer in London

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • T

    team.blue Global

    50-100
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