Senior AI Engineer

AnvilEight
London, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
£36,000.0
Working hours
Regular working hours
Languages
English
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Databases Data Transformation JSON Python (Programming Language) PostgreSQL OAuth Queueing Systems Standard Sql SQL Databases
+8 more
Data Ingestion Large Language Models Prompt Engineering Zapier No-code Tools Restful APIs Webhooks Docker

Job description

We’re hiring a Senior AI Engineer to design and ship automation that connects our tools, data and AI models. You’ll build reliable workflows in n8n and Make.com, back them with Python services and databases, and wire in large language models to automate real business processes end-to-end - from data ingestion to action. This is a hands-on, high-ownership role: you’ll turn fuzzy business needs into dependable automated systems and own the platform they run on.

What you’ll do

Design, build and maintain automation workflows in n8n and Make.com; Integrate third-party APIs, webhooks and internal services into reliable end-to-end pipelines; Write Python services, glue code and scheduled jobs that extend what no-code tools can do on their own; Model, store and query data in SQL databases that back the automations; Integrate LLM / AI APIs - prompt design, retrieval-augmented generation (RAG) and structured extraction - to automate real business tasks; Add monitoring, error handling, retries and alerting so workflows run dependably in production; Document the platform and own it as it grows.

Requirements

Do you have experience in SQL?, Do you have a Master’s degree?, 3+ years building automations and integrations, with hands-on experience in n8n and/or Make.com (Zapier a plus); Solid Python for scripting, API integration and data transformation; Strong SQL and relational-database skills (PostgreSQL preferred) - querying, joins and schema design; Comfortable with REST APIs, webhooks, JSON and OAuth / authentication flows; Practical experience integrating LLM / AI APIs (OpenAI or similar) into real workflows; Understanding of error handling, idempotency, rate limits and observability in automations; Bonus: Docker, vector databases / RAG, message queues, and JavaScript for n8n Function nodes; Clear English and the ability to turn fuzzy business needs into reliable automated processes.

Benefits & conditions

Pulled from the full job description

  • Annual leave
  • Language training provided

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