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Artificial intelligence engineer

Liverpool (Merseyside)
Key Talent Solutions
Engineer
Posted: 9 April
Offer description

We’re looking for a genuinely strong AI Engineer to join a growing SaaS business in West Midlands. This is not a research or experimentation role it’s about designing, building and deploying real AI systems that solve real operational problems** across the business.


If you’re an engineer first, with a track record of shipping production-grade AI workflows, this is the kind of role where you’ll thrive.



🚀 **What You’ll Do**


* Design, build and deploy **internal AI agents and agentic workflows** that automate real business processes

* Own solutions end-to-end, from concept through to **production deployment and monitoring**

* Work across functions including **Product, Finance, Sales, Operations and Customer Success**

* Integrate AI systems into existing enterprise tools, platforms and APIs

* Continuously improve systems through iteration, feedback and performance insights


Technical Requirements

* Strong **Python engineering fundamentals**

* Experience with **modern agent frameworks, orchestration tooling and LLM-based systems**

* Solid understanding of **APIs, microservices and enterprise integrations**

* Experience with **testing, observability and production monitoring**

* Ability to build systems that are robust, scalable and maintainable




✅ **What We’re Looking For**


**Engineering First Mindset**

You’re a software engineer at your core. You’ve built and shipped working systems not just explored AI ideas.


**Production Agentic Experience**

You’ve delivered **AI agents, workflows or intelligent automation** that real users rely on in live environments.


**Enterprise Integration Strength**

Comfortable integrating with **CRMs, finance systems, ticketing platforms, internal tools and APIs**.


**Commercial Judgement**

You understand where AI creates **real business value**, and avoid building for novelty.


**Operational Maturity**

You think about **failure modes, observability, monitoring, autonomy boundaries and safe deployment**.


**SaaS / Enterprise Background (Preferred)**

Experience in **B2B SaaS, fintech, enterprise software or internal platform teams** is highly valued.




❌ **What This Role Is Not**


* Not a pure research or academic position

* Not prompt engineering in isolation

* Not a data science-heavy modelling role

* Not building demos that never reach production


1.
### 🌍 **Why Join**


* Work on **high-impact AI systems** embedded in real business workflows

* Operate in an environment where **engineering quality and delivery matter**

* Help shape how AI is applied across an entire SaaS organisation

* Join a team focused on **practical, scalable AI — not hype**



If you’re excited by building AI systems that actually get used and making them reliable, scalable and valuable — we’d like to hear from you.

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