At a Glance
- Tasks: Lead the creation of AI agents for top brands, from concept to launch.
- Company: Join a pioneering AI company backed by top-tier investors.
- Benefits: Competitive salary up to £180k plus multiple benefits.
- Other info: Dynamic work environment in London with great career growth.
- Why this job: Shape the future of conversational AI and make a real impact.
- Qualifications: 5+ years in a technical customer-facing role and Python proficiency.
The predicted salary is between 180000 - 180000 € per year.
Join a category-defining AI company, backed by tier-one investors at the ground floor of a brand-new team shaping how the world's largest enterprises deploy conversational AI agents. You’ll work hands-on with 100+ leading brands, owning technical delivery end-to-end and directly influencing the roadmap of a rapidly scaling agent-building platform. Offering serious technical depth, real customer impact, and a healthier pace than your typical hyper-growth startup.
What you’ll be doing:
- Own end-to-end execution of AI agent builds for strategic enterprise customers, from initial scoping through launch, iteration, and scale.
- Write and maintain core agent-building artifacts, configuring behaviour to optimise quality, reliability, and measurable business outcomes.
- Design and validate guardrails to ensure safe, compliant, and predictable agent performance in real-world environments.
- Set up, test, and validate customer integrations (ticketing systems, CRMs, data pipelines), building the tools and workflows needed for successful deployment.
- Partner with senior technical stakeholders at customers to define success criteria, gather requirements, and drive delivery against tight timelines.
- Translate customer needs into clear internal documentation and feed insights back to Engineering to shape platform evolution.
- Collaborate closely with Product, Engineering, Design, and Go-to-Market teams to deliver repeatable, best-in-class agent builds.
Requirements:
- 5+ years in a technical, post-sales, customer-facing role at a complex B2B SaaS company (Forward-Deployed Engineer, Solutions Engineer, Solutions Architect, Implementation Engineer, or Field Engineer).
- Proficiency in Python with the ability to write, ship, and validate production-grade code end-to-end.
- Experience working with APIs and building enterprise integrations.
- Proven track record delivering technical solutions to enterprise customers with structured execution, testing, and iteration.
- Exceptional communication skills, with the polish and clarity to engage senior technical stakeholders.
- Comfort operating in fast-moving, ambiguous environments where you shape solutions as much as implement them.
Bonus:
- Experience building with LLMs or AI agents (prompting, evaluation, guardrails, workflow design).
- CS, Engineering, or Maths degree from a strong institution.
Must be able to work 5 days a week in-office in London. Paying up to £180k + Multiple Benefits. Please only apply if you have full working UK Rights as there is no sponsorship on offer.
Customer Engineer - AI Agents (Python) - up to £180k in London employer: We Source Talent
Join a pioneering AI company that offers an exceptional work environment, where you can directly influence the future of conversational AI for leading global brands. With a focus on employee growth and a collaborative culture, you'll enjoy a balanced pace that fosters innovation while providing competitive compensation and comprehensive benefits. Located in London, this role not only allows you to work with cutting-edge technology but also to be part of a dynamic team that values your contributions and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Engineer - AI Agents (Python) - up to £180k in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can sometimes lead to insider info or even a referral, which can give you a leg up in the hiring process.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your Python prowess and experience with AI agents, make sure to share them during interviews. Real-world examples can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of APIs. Practice common interview questions related to your role, and don’t forget to articulate your thought process clearly when solving problems.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets the attention it deserves. Don’t miss out on the chance to be part of something big!
We think you need these skills to ace Customer Engineer - AI Agents (Python) - up to £180k in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Customer Engineer role. Highlight your experience with Python and any relevant projects you've worked on, especially those involving AI agents or enterprise integrations. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about joining StudySmarter and how you can contribute to our mission. Be sure to mention specific experiences that relate to the job description, especially around customer-facing roles and technical delivery.
Showcase Your Communication Skills:Since this role involves engaging with senior technical stakeholders, it's crucial to demonstrate your communication skills in your application. Use clear and concise language, and make sure to articulate your thoughts well. We love candidates who can convey complex ideas simply!
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 us you’re keen on being part of the StudySmarter team right from the start!
How to prepare for a job interview at We Source Talent
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with writing, shipping, and validating production-grade code. You might even be asked to solve a coding challenge, so practice common algorithms and data structures.
✨Understand the AI Landscape
Familiarise yourself with conversational AI and how it impacts businesses. Research the company’s products and their applications in real-world scenarios. This will help you articulate how your skills can contribute to their mission and show that you're genuinely interested in the role.
✨Prepare for Technical Discussions
Expect to engage with senior technical stakeholders during the interview. Prepare to discuss your previous experiences in delivering technical solutions, especially in B2B SaaS environments. Be ready to share specific examples of how you've tackled challenges and delivered results.
✨Showcase Your Communication Skills
Exceptional communication is key for this role. Practice explaining complex technical concepts in simple terms. During the interview, focus on clarity and polish in your responses, as this will demonstrate your ability to engage effectively with both technical and non-technical audiences.
