Full Stack Engineer (AI / LLM, React + Python)

Gb
UK
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications Microsoft Azure Python (Programming Language) Node.Js NoSQL SQL Databases ReactJS Large Language Models Backend
+2 more
Front End Software Development Automation Anywhere

Requirements

AI-driven systems You’ll be working on:End-to-end product features across frontend and backend Agent workflows, including planning, tool usage, failure handling and recovery Integration of LLMs, memory and external systems into user-facing flows Real-time interactions, including streaming responses and partial updates Reliability and fallback behaviour within the product experience What They Care AboutThe hiring bar is centred around real production experience:Whether you have built and shipped features end-to-end Your experience working with AI-powered applications beyond simple API usage Your ability to handle practical challenges such as: ambiguity in product requirements failure and recovery in AI workflows maintaining consistent behaviour in real-world usage Tech EnvironmentNext.js / React Python and Node.js SQL / NoSQL databases LLM ecosystem (OpenAI, Anthropic, etc.) Docker and Kubernetes AWS, Azure or GCP is fine The emphasis is on how you design and ship product features, rather than any single technology.Team & Working StyleRemote-first Small, highly capable engineering team Strong emphasis on ownership and delivery Comfortable working across frontend, backend and evolving systems

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

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Working securely with Node.js path application programming interfaces

Sonya Moisset · World Congress 2023

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

2:21 min

Transitioning from AI co-pilots to AI-native products

Jordan Tigani Jordan Tigani · World Congress 2026 Europe

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