At a Glance
- Tasks: Build and launch AI agents for enterprise customers, ensuring quality and reliability.
- Company: Join a high-growth AI software company revolutionising customer experiences.
- Benefits: Competitive salary, visa sponsorship, and collaborative office environment.
- Other info: Exciting opportunity to influence customer outcomes and product evolution.
- Why this job: Make a real impact in the fast-paced world of applied AI.
- Qualifications: 5+ years in technical customer-facing roles with strong coding skills.
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 employer: W3 Global Sourcing
Join a dynamic and innovative AI software company in London, where you will be at the forefront of building enterprise-grade conversational AI agents for leading brands. Our collaborative work culture fosters creativity and technical excellence, offering ample opportunities for professional growth and development. With a focus on impactful customer interactions and cutting-edge technology, this role provides a unique chance to influence both client success and product evolution in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Engineer, Agent Builder
✨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 refer you directly.
✨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! Bring examples of your past projects or implementations to the interview. This will help demonstrate your hands-on experience and problem-solving abilities, which are crucial for this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Customer Engineer, Agent Builder
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 customer-facing experience, showing how they align with what we’re looking for.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Whether it’s coding, working with APIs, or delivering production-grade solutions, let us know how you’ve tackled these challenges in the past.
Communicate Clearly:When writing your application, clarity is key. Use straightforward language to explain your experiences and how they relate to the role. We want to see how you can translate complex ideas into actionable plans!
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 don’t miss out on any important updates during the process.
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 and how you can apply that knowledge to build AI agents.
✨Understand the Customer's Needs
Before the interview, research the company’s clients and their industries. Think about how you can translate customer requirements into actionable plans, as this role is all about delivering tailored solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Highlight your structured approach to testing and validating solutions, as well as how you’ve iterated based on feedback.
✨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 is key.
