Customer & Solutions · United Kingdom · Mid level
This role asks for an engineer who has already built and shipped LLM agents to real users, including tool use and evals, and who can own a customer's agents from first scoping through production and beyond. A strong candidate writes solid Python, integrates messy enterprise systems and telephony, and debugs live calls to find whether the fault sits in speech recognition, the model, a prompt, an integration or the phone line. The person also needs to run agents like a scientist, using eval sets and A/B tests, and to explain trade-offs plainly to both engineers and executives.
How it fits the AI era
The work sits at the hard end of applied AI: real-time voice agents on live phone lines for large brands, where callers notice every mistake. AI handles much of the conversation, but the engineer still designs behavior, guardrails and tool calls, judges what went wrong on a bad call, and decides what ships based on data. The human parts are ownership, judgment and clear communication with customers.
How it builds AI experience
Someone here would gain hands-on experience shipping LLM agents in production, building eval sets from real calls, and running online experiments. They would also learn voice and telephony work across SIP and contact-centre platforms, and get close to Raven, the company's own dialog model, working with the team that trains it. Building that experience means showing a shipped agent, strong Python, and comfort with production integrations.
Worth showing
- Shipped LLM agents
- Tool use and evals
- Strong Python
- Live call debugging
- Customer-facing ownership
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About PolyAI
PolyAI builds dialog agents that handle critical enterprise customer conversations and resolve them without escalation, per the company.
Forward Deployed Engineer, Agentic AI employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
