Founding Product Engineer (AI & Agentic Systems)

AURORA

Greater London

On-site

GBP 130,000 - 150,000

Full time

14 days+

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Benefits offered by this job

$2,000 Tech & Education budget

Complimentary Oura ring or Whoop

Full health benefits; 90% coverage

Job summary

A leading lifestyle management platform in Greater London is seeking a Founding Product Engineer to own and ship user-facing, AI-driven features from inception to production. The role requires strong technical expertise and product ownership skills, focusing on delivering value to members and shaping solutions. Ideal candidates will have 4+ years of experience building software and expertise in ML or AI features. This hybrid role allows for flexibility, with core work based in-person in London, along with generous employee perks.

Qualifications

4+ years of experience building production software.
Proven experience shipping ML- or AI-powered features used by real customers, ideally at scale.
Strong understanding of how ML systems behave in production.

Responsibilities

Own product features end-to-end, from problem definition to production and iteration.
Design and implement AI-powered workflows.
Collaborate with engineers to ship reliable implementations.

Skills

Experience building production software

Shipping ML- or AI-powered features

Working with LLMs

Strong communication skills

Tools

Python

Django or similar backend frameworks

Job description

Salary: £130,000 – £150,000
Equity: 0.7% - 1%

In-person, with flexible remote days

European visa sponsorship available

About Aurora

Aurora is a digital-first lifestyle management platform built for the world’s highest-performing individuals and organizations. Our members include tier-1 founders, executives, athletes, and families who delegate complex, ongoing needs across travel, dining, experiences, luxury purchases, and health.

Aurora is mobile-first, conversational, proactive, and available 24/7 globally. Members interact with the product multiple times per day, often for time-sensitive, high-stakes decisions. This makes product quality, judgment, and system behavior directly visible to customers in real time.

Agentified premium lifestyle commerce represents a $10bn+ opportunity. Legacy concierge and lifestyle services rely on fragmented CRMs and manual workflows that do not scale. Aurora combines automation, AI agents, and expert human curators into a single system designed for speed, accuracy, and leverage.

We’ve seen exceptional early traction:

51% DAU, 95% WAU
Transaction volume and member spend already outperforming industry benchmarks by 5× within the first three months

Aurora is backed and chaired by Alex Macdonald, the most successful founder in this category.

So far, we’ve:

Raised >$5M from experienced operators and tier-1 investors
Built a product with industry-leading engagement from paying members
Collected a large, proprietary dataset of user context (preferences, calendars, health signals) that powers proactive AI behavior

We are now expanding the founding engineering team as we scale the product and the member base.

Aurora is built in person from our offices in London, New York, and Los Angeles.
The engineering team works primarily from our London office in Belgravia, with flexible remote days.

The role

We’re hiring a Founding Product Engineer to own and ship user-facing, AI-driven features end to end.

This is a hybrid role that sits between engineering and product. You will be hands‑on technically, while also acting as the product owner for specific features. You’ll define problems, shape solutions, work directly with curators and stakeholders, and ensure what we ship actually delivers value to members.

You’ll work closely with the CTO, founders, backend and mobile engineers, and the operations team. Many of Aurora’s most important features live at the intersection of product judgment, ML systems, and agent orchestration - this role owns that intersection.

This is a high‑ownership role. You will take ambiguous ideas, turn them into concrete systems, ship them to production, and iterate based on real customer usage and feedback.

Over time, this role can evolve into senior product leadership, technical leadership, or a hybrid path, depending on your strengths and ambitions.

Aurora attracts people who want to build their own companies. We treat this role as training for that level of ownership.

What you’ll do

Own product features end-to-end, from problem definition to production, feedback, and iteration
Act as product owner for assigned areas, balancing customer needs, technical constraints, and delivery speed
Design and implement AI-powered workflows using LLMs, tools, and agentic systems
Build and iterate on ML-driven features, including classification, ranking, extraction, and decision support
Design agent flows that combine automation with human‑in‑the‑loop escalation
Work closely with our internal domain experts to understand real operational pain points and opportunities for leverage
Collaborate with engineers to ship reliable, scalable implementations
Define success metrics and use qualitative and quantitative feedback to guide iteration
Debug production issues related to AI behavior, data quality, or workflow design
Contribute code across the stack where needed, with a bias toward shipping value

What we’re looking for

Experience

4+ years of experience building production software
Proven experience shipping ML- or AI-powered features used by real customers, ideally at scale
Experience working with LLMs, prompt design, tool calling, and agentic flows
Strong understanding of how ML systems behave in production, including failure modes

Technical foundation

Comfortable writing production-ready Python code
Solid understanding of backend systems and APIs, even if not infrastructure-focused
Experience working with data pipelines, embeddings, retrieval, or RAG-style systems
Ability to reason about latency, cost, reliability, and quality trade-offs

Product mindset