8 days ago

AI Automation Engineer

Apply4U | Apply4U | Human-Assisted AI Job & Recruitment Platform

Hybrid
Full Time
£70,000
Hybrid

Job Overview

Job TitleAI Automation Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary£70,000
LocationHybrid

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Job Description

About the Opportunity for an AI Automation Engineer

Our client is seeking a highly skilled AI Automation Engineer to design, build, and deploy intelligent automation solutions across their business operations. This fully remote UK-based role is ideal for someone with strong experience in AI tools, workflow automation, APIs, and system integrations. You’ll work at the intersection of AI, process improvement, and engineering, identifying opportunities to streamline workflows and implementing scalable automation solutions that drive efficiency and innovation.

Key Responsibilities

  • Design and implement AI-driven automation workflows across business functions.
  • Build and integrate systems using APIs and automation platforms.
  • Develop and deploy LLM-based solutions (e.g., chatbots, internal tools, document automation).
  • Optimise processes using AI, RPA, and scripting solutions.
  • Collaborate with product, operations, and engineering teams to identify automation opportunities.
  • Ensure automation solutions are secure, scalable, and maintainable.
  • Monitor performance and continuously improve automation pipelines.
  • Document processes and technical configurations.

Required Skills & Experience

  • Proven experience in automation engineering, AI development, or workflow automation.
  • Strong programming skills (Python preferred; JavaScript beneficial).
  • Experience integrating APIs and working with RESTful services.
  • Familiarity with AI/LLM platforms and prompt engineering.
  • Experience with automation tools (Zapier, Make, Power Automate, UiPath, etc.).
  • Knowledge of cloud environments (AWS, Azure, or GCP).
  • Strong analytical and problem-solving mindset.
  • Ability to work independently in a remote-first environment.

Desirable (Not Essential)

  • Experience building AI-powered internal tools or SaaS integrations.
  • Exposure to DevOps practices and CI/CD pipelines.
  • Knowledge of data pipelines and basic ML concepts.
  • Experience with vector databases or embeddings.
  • Background in process optimisation or digital transformation.

What’s on Offer

  • Fully remote UK-based role.
  • Competitive salary (£55k–£80k DOE).
  • Opportunity to work on cutting-edge AI and automation projects.
  • High autonomy and innovation-driven culture.
  • Career progression into Lead Automation Engineer / AI Architect.
  • Flexible working environment.

Key skills/competency

  • AI Automation
  • Workflow Automation
  • Large Language Models (LLMs)
  • API Integration
  • Python Programming
  • Cloud Platforms (AWS/Azure/GCP)
  • RPA
  • Prompt Engineering
  • Process Optimization
  • System Integration

Tags:

AI Automation Engineer
AI automation
workflow automation
LLM development
API integration
process optimization
system integration
automation engineering
prompt engineering
solution deployment
cross-functional collaboration
Python
JavaScript
RESTful APIs
Zapier
Make
Power Automate
UiPath
AWS
Azure
GCP

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How to Get Hired at Apply4U | Apply4U | Human-Assisted AI Job & Recruitment Platform

  • Research Apply4U's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight AI automation, Python, API integration, and LLM experience, matching keywords from the AI Automation Engineer job description.
  • Showcase project expertise: Prepare a portfolio or case studies demonstrating your practical experience in building and deploying automation solutions.
  • Master technical skills: Be ready to discuss your proficiency in Python, cloud platforms, prompt engineering, and various automation tools during the interview process.
  • Demonstrate problem-solving: Practice articulating how you identify automation opportunities and implement scalable solutions, focusing on process improvement.

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