At a Glance
- Tasks: Build and launch AI agents for enterprise customers, ensuring quality and reliability.
- Company: Fast-growing AI software company revolutionising customer experiences with conversational AI.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Dynamic environment with direct influence on customer outcomes and product evolution.
- Why this job: Join a cutting-edge team and make a real impact in the world of AI.
- Qualifications: 5+ years in a technical, customer-facing role; coding and API experience required.
The predicted salary is between 60000 - 80000 € per year.
About the Company
We are representing a high-growth AI software company building enterprise-grade conversational AI agents for leading brands. The platform helps large organizations deploy AI-powered customer experiences across channels such as chat, voice, email, SMS, and other customer interaction workflows. The company is operating in a fast-moving category where technical execution, product quality, and customer impact are central to success. This is a strong fit for someone who enjoys working at the intersection of engineering, customer delivery, product feedback, and applied AI.
The Role
This is a highly technical, customer-facing delivery role focused on building and launching AI agents for strategic enterprise customers. You will own the execution of agent builds from scoping through launch and iteration, working closely with customers and internal product, engineering, success, and go-to-market teams. You will translate customer requirements into clear implementation plans, configure agent behavior, validate integrations, test performance, and ensure deployed agents are reliable, safe, and effective in real-world environments. This role is ideal for someone with a strong technical foundation who enjoys hands-on implementation, customer interaction, structured problem-solving, and shipping production-quality solutions quickly.
What You'll Do
- Own end-to-end execution of AI agent builds for enterprise customers, from initial scoping through launch and continuous iteration.
- Configure agent behavior and maintain key implementation artifacts to improve quality, reliability, and business outcomes.
- Design, test, and validate guardrails to support safe, compliant, and predictable AI agent performance.
- Set up and validate customer integrations, including ticketing systems, enterprise SaaS tools, workflows, and related deployment requirements.
- Work directly with senior technical stakeholders to gather requirements, define success criteria, and drive delivery against timelines.
- Translate customer needs into clear internal documentation and feedback for product and engineering teams.
- Partner with product, engineering, design, customer success, and go-to-market teams to deliver repeatable, high-quality AI agent implementations.
- Surface product gaps and customer insights that help improve the underlying agent-building platform.
What We're Looking For
- Ideally 5+ years of experience in a technical, customer-facing role such as Solutions Engineering, Forward-Deployed Engineering, Technical Consulting, Implementation Engineering, Technical Product, or a similar function.
- Strong technical foundation, including comfort writing code, working with APIs, and building or validating integrations.
- Experience delivering production-grade customer solutions that require structured execution, testing, validation, and iteration.
- Ability to communicate clearly with senior technical stakeholders and translate ambiguous requirements into actionable implementation plans.
- Strong ownership mindset and comfort operating in fast-moving, ambiguous environments.
- Ability to balance hands-on technical execution with customer empathy and structured delivery.
- Experience working with complex B2B SaaS products or technical post-sales environments.
Nice to Have
- Experience building with or around LLMs, AI agents, prompt workflows, evaluations, guardrails, or AI tooling.
- Experience with enterprise SaaS integrations such as ticketing systems, CRM platforms, data pipelines, or workflow automation tools.
- Familiarity with security, compliance, and reliability considerations in enterprise software deployments.
- Python experience.
- Computer Science, Engineering, Mathematics, or equivalent technical background.
- Product instinct, including the ability to define success metrics, write clear product requirements, and feed customer insights into roadmap discussions.
Why This Role Is Exciting
- You will work on one of the fastest-growing areas of applied AI: enterprise-grade AI agents.
- You will have direct ownership over customer-facing technical work that moves from scoping to production.
- The role combines engineering, product thinking, customer strategy, and implementation rather than sitting in a narrow delivery lane.
- You will work closely with high-caliber internal teams and senior technical stakeholders at large enterprise customers.
- Your work will directly influence both customer outcomes and the evolution of the core platform.
- This is a strong opportunity for someone who wants to stay technical while moving closer to customer impact and product direction.
Work Model
- Full-time role.
- On-site in London.
- Regular in-office collaboration expected.
- Visa sponsorship available.
Customer Engineer, Agent Builder in London employer: W3 Global Sourcing
Join a dynamic and innovative AI software company in London, where you'll be at the forefront of building enterprise-grade conversational AI agents for leading brands. With a strong emphasis on collaboration, employee growth, and a fast-paced work culture, this role offers you the chance to directly impact customer experiences while working alongside talented teams. Enjoy unique benefits such as hands-on technical execution, opportunities for professional development, and the excitement of contributing to one of the fastest-growing areas in applied AI.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Engineer, Agent Builder in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to customer engineering and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your technical skills during interviews! Be ready to discuss your experience with APIs, coding, and integrations. Bring examples of past projects where you’ve successfully delivered solutions that made an impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Customer Engineer, Agent Builder in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Customer Engineer role. Highlight your technical skills and experience in customer-facing roles, as well as any relevant projects you've worked on that align with AI and SaaS.
Showcase Your Technical Skills:Don’t shy away from detailing your technical foundation! Mention your coding experience, familiarity with APIs, and any hands-on work with AI agents or integrations. We love seeing how you can bridge the gap between tech and customer needs.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language to explain your past experiences and how they relate to the role. This will help us understand your thought process and how you tackle complex problems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at W3 Global Sourcing
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially around APIs and coding. Be ready to discuss how you've implemented solutions in the past, as this role is all about hands-on execution.
✨Understand Customer Needs
Get familiar with the types of customer interactions the company focuses on. Think about how you can translate customer requirements into actionable plans, as this will be key in your discussions during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. This job requires structured problem-solving, so be ready to demonstrate your thought process and how you ensure quality and reliability in your solutions.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing technical concepts. You'll need to communicate effectively with senior stakeholders, so being concise and confident will help you stand out.
