Software Engineer – Enterprise Research / AI Agents

Generative Group; Greater London; Híbrido; GBP 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Share options

Pension + healthcare

25 days leave

Cycle to Work

Laptop provided

Hybrid + Friday lunch

Resumo da oferta

Generative Group is seeking a Lead Product Engineer to shape the technical direction of an AI-powered research platform. This senior individual contributor role offers substantial autonomy, direct customer exposure and ownership over architectural decisions across frontend, backend and AI systems.

You will contribute code daily, design LLM and agent systems, build evaluation frameworks and drive observability across a 12–24 month horizon while mentoring peers and collaborating with customers.

Qualificações

• Extensive full-stack engineering experience with backend depth.
• Proven experience building and operating complex production systems and LLM-based products.
• Strong Python or equivalent programming skills across the stack.
• Experience with evaluation, agent orchestration, retrieval and production observability.
• Sound architectural judgement, autonomy and customer engagement.
• Experience establishing engineering standards and mentoring others.

Responsabilidades

• Set the technical direction for an AI-powered research platform.
• Write production code daily and influence frontend, backend and AI systems architecture.
• Design LLM and agent systems; develop evaluation frameworks and retrieval capabilities.
• Improve observability and make architectural decisions over a 12–24-month horizon.
• Mentor colleagues and review code; engage directly with customers.

Conhecimentos

Full-stack engineering

Backend engineering

Python

LLM-based products

Architecture design

Customer engagement

Ferramentas

LangGraph

Redis

Postgres

Neo4j

React

TypeScript

Kubernetes

GCP

Datadog

Descrição da oferta de emprego

About the company

This profitable, bootstrapped enterprise research and business intelligence company helps organisations move from questions to decisions faster. It combines qualitative and quantitative research, audience panels and human expertise with artificial intelligence to simplify and accelerate the research workflow.

Its mission is to close the understanding gap between what organisations believe about people and what is actually true. The company is developing an AI-powered research platform that automates key research tasks while supporting complex projects with humans in the loop.

Its culture values autonomy, thoughtful decision-making, close customer engagement and a bias towards shipping, learning and continuous improvement. Its engineering approach is AI-native, collaborative and focused on solving meaningful customer problems rather than simply completing tickets.

What the job entails

As a Lead Product Engineer, you will help set the technical direction for an AI-powered research platform. This is a senior individual contributor role with substantial autonomy, customer exposure and responsibility for decisions that will shape the platform’s future.

You will write production code daily while influencing architecture across the frontend, backend and AI systems. Your responsibilities will include designing LLM and agent systems, developing evaluation frameworks, building retrieval capabilities, improving observability and making architectural decisions over a 12–24-month horizon.

You will also establish strong engineering practices, review code in depth, speak directly with customers and mentor colleagues through design discussions and day-to-day collaboration. The technology environment includes Python, FastAPI, LangGraph, Redis, Postgres, Neo4j, React, TypeScript, Kubernetes, GCP and Datadog.

Key requirements / What we look for

• Extensive full-stack engineering experience, with strong backend depth and approximately seven or more years’ experience.

• Proven experience building and operating complex production systems and LLM-based products.

• Strong Python or equivalent programming skills, with confidence across the technology stack.

• Experience with evaluation, agent orchestration, retrieval and production observability.

• Sound architectural judgement, autonomy and confidence engaging directly with customers.

• Experience establishing engineering standards and mentoring others.

Compensation & Benefits

• Share options scheme enrolment after probation.

• Pension and private healthcare.

• 25 days’ annual leave.

• Cycle to Work scheme.

• Laptop and accessories provided.

• Hybrid working, with office-based collaboration and free Friday lunch.