At a Glance
- Tasks: Lead the creation of an AI Media Production platform for accurate visual generation.
- Company: CapsLock, a pioneering tech company in AI media production.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on cutting-edge technology and career advancement.
- Why this job: Be the first engineer shaping innovative AI solutions and collaborate with creative teams.
- Qualifications: Experience in generative pipelines, strong Python skills, and visual literacy.
The predicted salary is between 63000 - 77000 £ per year.
CapsLock is hiring the tech lead who will architect its AI Media Production platform — generating 1:1-accurate visuals of real client products with no artifacts or hallucinations. A greenfield build: the first engineer in this direction, working directly with the Design Director as the interface between creative teams and software infrastructure.
Location: London, United Kingdom
Seniority: Lead
What you’ll do:
- Architect and run the AI Media Production platform: serving ComfyUI or similar engines, GPU environments, and one-click UIs for non-technical teams
- Ship modular, versioned, reproducible generative pipelines — node-based and/or code-first (e.g. diffusers)
- Develop one-click presets and use cases for image and video generation
- Train LoRAs end-to-end: from real product photography to evaluated, production-ready models
- Build control-first generation into every pipeline: ControlNet, IP-Adapter, inpainting, reference conditioning
- Engineer QC into the pipeline itself: automated checks against product references before human review
- Encode what makes best-performing assets work into reusable presets and styles
Unique:
- Own the technical roadmap with the Design Director; qualify new models and tools
What you’ll need:
- Experience shipping generative pipelines adopted and used daily by other people
- Production-grade workflows in ComfyUI or similar, or equivalent code-first experience (diffusers)
- Strong Python: automation, API integrations, custom nodes
- LoRA training end-to-end, from dataset curation to evaluation
- Experience deploying pipelines as internal tools; visual literacy to set the quality bar
Nice to have:
- 3D/render-hybrid workflows (Blender/CAD ground truth), LLM orchestration and VLM-based QC, performance-marketing visuals
Generative AI Pipeline Engineer (Tech Lead) employer: Workman Labs
CapsLock is an exceptional employer, offering a unique opportunity for the Generative AI Pipeline Engineer (Tech Lead) to lead the development of cutting-edge AI Media Production technology in the vibrant city of London. With a strong focus on innovation and collaboration, employees benefit from a supportive work culture that encourages creativity and professional growth, alongside competitive compensation and flexible working arrangements. Join us to be at the forefront of AI advancements while enjoying a dynamic environment that values your contributions and fosters your career trajectory.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Pipeline Engineer (Tech Lead)
✨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 Workman Labs 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 Workman Labs.
✨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 Workman Labs.
✨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 Workman Labs 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 Generative AI Pipeline Engineer (Tech Lead)
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 Workman Labs.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Workman Labs 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 Workman Labs
✨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 Workman Labs 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.
