Remote AI Voice Agent Engineer – Production & Deployment (Equity)

PolyAI; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity participation

Flexible work from home

Healthcare

Dental cover

Parental leave

Home-working allowance

Annual learning allowance

25 days annual leave increasing with 6

Job summary

PolyAI is seeking an experienced engineer to build and operate customer-facing voice agents from discovery through launch and ongoing improvement. This hands-on role blends production LLM systems, real-time voice, and enterprise integrations, owning performance after release.

You will implement agents in production, integrate with customer systems via Python, and lead cross-functional discussions to address constraints, dependencies, and improvements in collaboration with product and research

Qualifications

• Experience building and shipping LLM agents or conversational systems for real users, including tool use and evaluation.
• Strong Python skills and experience working with production code, APIs, integrations, and unfamiliar codebases.
• Several years in a customer-facing technical engineering role where you delivered working code, such as deployment engineering, consulting, or a startup engineering role.
• A record of owning systems through incidents and ongoing operation, not only initial delivery.
• Ability to communicate technical constraints and performance trade-offs to both engineering and business audiences.

Responsibilities

• Work with customers to define agent behavior, tools, and safeguards, then implement, launch, and maintain agents in production.
• Build Python integrations with customer systems such as CRMs, booking services, and payment flows; address telephony and contact-center connections as needed.
• Investigate failed or poor-quality calls across speech recognition, model behavior, prompts, integrations, and phone infrastructure, then make targeted fixes.
• Create evaluation sets from real calls, run experiments, and use measures such as resolution, containment, and caller experience to guide changes.
• Turn deployment lessons into reusable tools, templates, or platform improvements in partnership with product, research, and engineering teams.
• Lead technical discussions with customer teams, explain trade-offs, and take ownership of outcomes in production.

Skills

Python

Production code

LLM agents

Communication with customers

Incident ownership

Trade-off communication

Tools

Go

C++

APIs

Job description

PolyAI is seeking an experienced engineer to build and operate customer-facing voice agents from discovery through launch and ongoing improvement. This hands-on role blends production LLM systems, real-time voice, and enterprise integrations, owning performance after release.

You will implement agents in production, integrate with customer systems via Python, and lead cross-functional discussions to address constraints, dependencies, and improvements in collaboration with product and research