Applied AI Engineers

What you can expect

Collaborate cross‑functionally to deploy production AI agents for strategic customers within 90 days, accelerating revenue and directly shaping our scalable product roadmap. 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.

• Design and deploy production‑ready AI agents during proof‑of‑concept engagements, integrating with customer CRMs, telephony systems, and knowledge bases using Python and Type Script.
• Engineer voice experiences by tuning speech synthesis, turn‑taking, and barge‑in across providers to match customer requirements and call profiles.
• Build evaluation frameworks with scripted tasks and adversarial scenarios that measure resolution rate, containment, and customer satisfaction as deployment gates.
• Capture product gaps and contribute structured feedback to Engineering, generalising field solutions into reusable platform capabilities.
• Transition successful pilots to Professional Services or partners with clear documentation, playbooks, and recommendations for ongoing operation.

• 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 (Eleven Labs, Azure, Cartesia, or similar).
• Build production integrations in Python with working knowledge of Type Script 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).

On‑Target Earnings: $ – $. The base salary, bonus, and equity value are considered in the total direct compensation philosophy.

We offer a comprehensive benefits program to support physical, mental, emotional, and financial health, encourage work‑life balance, and allow employees to contribute to community initiatives.

We welcome people of different backgrounds, experiences, abilities, and perspectives, including qualified applicants with arrest and conviction records and those requiring reasonable accommodations. If you need assistance during the hiring process due to a medical disability, please submit an Accommodations Request Form.