At a Glance
- Tasks: Build and launch AI agents for enterprise customers, ensuring quality and reliability.
- Company: Fast-growing AI software company transforming customer experiences with conversational AI.
- Benefits: Competitive salary, visa sponsorship, and opportunities for professional growth.
- Other info: Dynamic environment with collaboration among top-tier teams and senior stakeholders.
- Why this job: Join a cutting-edge team and make a real impact in the AI industry.
- Qualifications: 5-10 years in technical customer-facing roles; coding skills in Python required.
The predicted salary is between 60000 - 80000 £ per year.
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.
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
- 5 - 10 years of experience in a technical, post-sales, customer-facing role for a complex B2B SaaS product.
- Can write code (in Python).
- Experience working with APIs and building integrations.
- Experience building with or around LLMs / AI agents.
- Strong technical foundation, 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.
- 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.
Apply now!
Customer Engineer & AI Agent Builder (On-Site 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. Our collaborative work culture fosters continuous learning and growth, offering you the chance to engage directly with senior technical stakeholders while making a tangible impact on customer experiences. With a focus on hands-on implementation and a commitment to excellence, we provide a unique environment that values both technical expertise and customer empathy, ensuring your contributions are recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Engineer & AI Agent Builder (On-Site London)
✨Tip Number 1
Get to know the company inside out! Research their products, values, and recent news. This will help you tailor your conversations and show genuine interest during interviews.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give us insider info and even referrals that might just land you that interview.
✨Tip Number 3
Prepare for technical questions! Brush up on your coding skills, especially in Python, and be ready to discuss APIs and integrations. We want to see your hands-on experience shine through!
✨Tip Number 4
Don’t forget to follow up! After interviews, send a thank-you email expressing your appreciation and reiterating your excitement about the role. It keeps you fresh in their minds and shows your enthusiasm.
We think you need these skills to ace Customer Engineer & AI Agent Builder (On-Site 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 experience with AI agents, technical customer engineering, and any relevant projects that showcase your skills in building integrations and working with APIs.
Showcase Your Technical Skills:Don’t shy away from flaunting your coding abilities, especially in Python! Include examples of how you've used your technical foundation to deliver production-grade solutions, as this is key for us at StudySmarter.
Communicate Clearly:When writing your application, be clear and concise. We want to see how you can translate complex technical requirements into actionable plans, so use straightforward language that demonstrates your communication skills.
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 about the role!
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 in Python and API integrations. Be ready to discuss your experience with AI agents and how you've tackled complex B2B SaaS challenges in the past.
✨Understand the Customer's Needs
Before the interview, research the company’s products and their customer base. Think about how you can translate customer requirements into actionable plans and be prepared to share examples of how you've done this before.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific instances where you've successfully navigated ambiguous situations or technical challenges. Highlight your structured approach to problem-solving and how it led to successful outcomes.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing technical concepts. Remember, you'll need to communicate effectively with senior stakeholders, so being concise and confident is key.
