Engineering Manager (AI)

TL;DR

Engineering Manager (AI): Leading the development and scaling of Eliza, an AI enquiry handler for care providers, with an accent on technical roadmap ownership and hands-on product engineering. Focus on scaling live voice agents, building evaluation frameworks for LLMs, and managing token economics to improve response quality and empathy.

Location: Hybrid (London, UK) - requires two days in office

Salary: £95,000 – £125,000 + Equity

Company

hirify.global is a London-based startup transforming the eldercare sector by providing AI-native tools and marketplaces to connect families with care homes.

What you will do

• Own the technical roadmap for the Eliza AI agents product line.
• Lead and mentor a small team of product engineers while remaining hands-on with code.
• Scale live voice agents, focusing on quality, empathy, and reliability for sensitive human contexts.
• Develop evaluation frameworks to measure and improve LLM response accuracy and emotional tone at scale.
• Manage LLM economics, including token costs, latency trade-offs, and model selection.
• Expand AI capabilities from voice into live chat and email enquiry handling.

Requirements

• 7+ years of hands-on software engineering experience with a track record of leading technical decisions and mentoring.
• Proficiency in TypeScript across the full stack.
• Practical experience building with LLMs, including prompt engineering and observability.
• Proven experience building products from 0 to 1 in cross-functional environments.
• Must be based in London to support the hybrid work policy (two days in office).
• Strong product mindset focusing on impact and iterative development.

Nice to have

• Expertise in Claude Code and AI-assisted development workflows.

Culture & Benefits

• Generous EMI share offering (equity).
• 26 days of holiday plus bank holidays.
• Opportunity to be an early hire in a fast-growing, Series A backed startup.
• Mission-driven environment focusing on improving later-life care.
• Highly rated company culture (5/5 on Glassdoor).

Hiring process

• Screening interview with Talent Acquisition and a first round with the Hiring Manager.
• Technical assessment comprising an AI-enabled coding pair session and a system design interview.
• Behavioral interview and a final interview with the CEO.