At a Glance
- Tasks: Design and develop innovative AI solutions that transform businesses using cutting-edge technologies.
- Company: Join WeBuild-AI, a pioneer in AI transformation for enterprise organisations.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with experts and shape the future of AI in a dynamic environment.
- Why this job: Lead the charge in revolutionising how businesses operate with AI.
- Qualifications: Experience in AI/ML systems, strong Python skills, and a passion for innovation.
The predicted salary is between 72000 - 88000 £ per year.
About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose: We're on a mission to reinvent what's possible with AI in enterprise environments. Our AI Engineers don't just implement solutions—they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies.
Role Overview: As a Lead AI Engineer at WeBuild-AI, you will design, develop, and deploy innovative AI solutions that transform our clients' businesses. You'll leverage cutting-edge language models, agent frameworks, and our Pathway platform to create high-impact AI applications that deliver 10x value. You'll be given the freedom to experiment and push boundaries, discovering new ways AI can solve complex enterprise challenges.
Key Responsibilities
- Lead the design and development of AI solutions using language models and agent frameworks.
- Implement and customise agent frameworks such as Autogen and LangGraph for production-grade systems.
- Integrate AI capabilities with client systems, digital products, and data sources in collaboration with data engineers.
- Translate client requirements into scalable, secure, and high-performing AI applications.
- Oversee technical quality across project teams, mentoring mid-level and junior engineers.
- Support clients with AI adoption, education, and safe implementation practices.
- Contribute to the evolution of our internal AI delivery platform (Pathway) and engineering standards.
- Stay current with emerging AI tools and frameworks, introducing improvements to team workflows.
Required Skills & Experience
- Proven experience designing and deploying production-grade AI/ML or LLM systems.
- Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services).
- Strong Python programming skills with hands‑on experience using frameworks like Autogen and LangGraph.
- Solid grounding in MLOps, containerisation (Docker, Kubernetes), and vector databases.
- Understanding of agent monitoring tools (Langfuse, OpenTelemetry).
- Strong software engineering best practices (testing, CI/CD, code reviews).
- Excellent communicator able to work with cross‑functional teams and clients.
- Desire to experiment, iterate, and push the boundaries of practical AI.
The Mindset We Value:
- Relentless Innovation: We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work.
- Flexible Methodology: Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate.
- “Can Do” Attitude: When faced with a seemingly impossible challenge, your response should be
Lead AI Engineer employer: Webuild Ai
WeBuild-AI is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the AI consultancy space. With a strong emphasis on employee growth, you will have the autonomy to lead design projects while collaborating with cutting-edge AI tools, all within a supportive environment located in the vibrant city of London. Join us to be part of a fast-growing team where your creativity and strategic thinking will directly contribute to our brand evolution and success.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Webuild Ai or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Webuild Ai.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Webuild Ai.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Webuild Ai that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Webuild Ai.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Webuild Ai and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Webuild Ai
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Webuild Ai uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
