At a Glance
- Tasks: Deploy AI agents and integrate with customer systems using Python and TypeScript.
- Company: Join a leading tech company focused on innovative AI solutions.
- Benefits: Enjoy a supportive culture with perks for your health and work-life balance.
- Other info: Flexible hybrid work environment with excellent career growth opportunities.
- Why this job: Make a real impact by shaping AI technology for strategic customers.
- Qualifications: 4+ years in technical roles with experience in SaaS or AI/ML solutions.
The predicted salary is between 60000 - 80000 £ per year.
What you can expect:
- Deploy production AI agents for strategic customers during the sales cycle — taking Zoom Virtual Agent from proof‑of‑concept to live, trusted daily use within 90 days.
- Partner across Sales, Product, and Engineering to prove technical value, working hands‑on with voice AI, integrations, and real customer data.
- Turn field insights into platform capabilities that scale, ensuring every deployment makes the next one faster.
- Your work directly accelerates revenue and shapes the product roadmap.
About the Team:
We deploy Zoom Virtual Agent into live customer environments. Our team bridges Sales and Engineering through hands‑on technical validation. We exist to convert pilots into production systems.
Responsibilities:
- Designing and deploying production‑ready AI agents during proof‑of‑concept engagements, integrating with customer CRMs, telephony systems, and knowledge bases using Python and TypeScript.
- Engineering voice experiences by tuning speech synthesis, turn‑taking, and barge‑in across providers to match customer requirements and call profiles.
- Building evaluation frameworks with scripted tasks and adversarial scenarios that measure resolution rate, containment and customer satisfaction as deployment gates.
- Capturing product gaps and contributing structured feedback to Engineering, generalising field solutions into reusable platform capabilities.
- Transitioning successful pilots to Professional Services or partners with clear documentation, playbooks and recommendations for ongoing operation.
What we’re looking for:
- Demonstrate 4+ years in customer‑facing technical roles shipping complex SaaS or AI/ML solutions (Solutions Engineering, Technical Account Management, or similar).
- Deploy LLM‑based agents with tool use, multi‑step orchestration and guardrails into production customer environments.
- Apply voice stack expertise across ASR, TTS, turn‑taking and barge‑in, including tuning at least one major provider (ElevenLabs, Azure, Cartesia or similar).
- Build production integrations in Python with working knowledge of TypeScript or Go, connecting enterprise systems such as CRMs and telephony platforms.
- Write tests, log failures and iterate against measurable targets to validate agent performance before go‑live.
- Communicate technical concepts to business and engineering stakeholders with clarity and confidence.
- Bring contact centre domain knowledge (Genesys, Five9, NICE, Zoom Contact Center) or experience with AI agent platforms (Decagon, Sierra or similar).
- Contribute to voice agent benchmarks, open‑source projects, or have experience deploying in regulated industries (healthcare, financial services, telecom).
Ways of Working:
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote or In‑Person is indicated in the job description/posting.
Benefits:
As part of our award‑winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits and options to help employees maintain their physical, mental, emotional and financial health; support work‑life balance; and contribute to their community in meaningful ways.
Our Commitment:
At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit the accommodations request form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non‑accommodation‑related requests, such as application follow‑ups or technical issues, will not be addressed.
Applied AI Engineer in London employer: Pantera Capital
At Zoom, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our commitment to employee well-being is reflected in our comprehensive benefits programme, which supports physical, mental, and financial health while promoting work-life balance. With ample opportunities for professional growth and a structured hybrid working model, joining our team as an Applied AI Engineer means contributing to cutting-edge technology in a supportive environment that values your skills and potential.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Zoom or similar companies. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any that involve voice tech or integrations. This is your chance to demonstrate your hands-on experience and technical prowess.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to AI and voice systems. Practice explaining complex concepts in simple terms—this will impress both technical and non-technical interviewers.
✨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 Applied AI Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Applied AI Engineer role. Highlight your experience with deploying AI solutions and any relevant technical skills, like Python or TypeScript, that match what we're looking for.
Showcase Your Technical Skills:Don’t just list your skills—demonstrate them! Include specific examples of how you've used voice AI, integrations, or customer data in past projects. We want to see how you can bring value to our team.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experiences and achievements. Remember, we appreciate clarity, especially when it comes to technical concepts!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at Pantera Capital
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, TypeScript, and voice AI systems. Brush up on your experience with ASR and TTS, and be ready to discuss how you've deployed LLM-based agents in the past.
✨Showcase Your Customer-Facing Experience
Prepare examples from your previous roles that highlight your ability to communicate technical concepts clearly to both business and engineering stakeholders. Think of specific instances where you’ve successfully bridged the gap between sales and engineering.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you’ve tackled challenges in deploying AI solutions. Share stories about how you’ve built evaluation frameworks or captured product gaps, and how those experiences can translate into success for their team.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, and how they measure success. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.
