At a Glance
- Tasks: Deploy AI agents and collaborate with teams to enhance customer experiences.
- Company: Join a leading tech company known for innovation and support.
- Benefits: Enjoy a range of perks, including flexible work options and wellness programmes.
- Other info: Dynamic hybrid work culture with opportunities for personal and professional growth.
- Why this job: Make a real impact by shaping AI technology in live environments.
- Qualifications: 4+ years in technical roles with experience in 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 employer: Pantera Capital
At Zoom, we pride ourselves on being an exceptional employer, offering a dynamic 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, we empower our team members to thrive in their roles as they contribute to cutting-edge AI solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer
✨Tip Number 1
Get to know the company inside out! Research Zoom's products, especially the Virtual Agent, and understand how they fit into the market. This will help you tailor your conversations during interviews and show that you're genuinely interested.
✨Tip Number 2
Practice makes perfect! Prepare for technical interviews by brushing up on your Python and TypeScript skills. Work on some real-world projects or contribute to open-source to showcase your expertise in deploying AI solutions.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. This can give you insider tips about the interview process and even lead to referrals, which can significantly boost your chances.
✨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 serious about joining the team at Zoom!
We think you need these skills to ace Applied AI Engineer
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 agents 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 keen on 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 work directly with customers. Discuss how you’ve successfully transitioned pilots into production systems and the impact it had on customer satisfaction and revenue.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with both business and engineering stakeholders, so think of ways to demonstrate your clarity and confidence during the interview.
✨Bring Real-World Examples
Be ready to share specific instances where you’ve built integrations or evaluated agent performance. Use metrics to back up your claims, such as resolution rates or customer satisfaction scores, to show how your contributions have made a difference.
