AI Solutions Engineer

Galaxy Personnel
Norwich, Norfolk
9 months ago
Applications closed

Related Jobs

View all jobs

Senior AI Engineer - up to+ Bonus

Involved Solutions London, United Kingdom
£75,000 – £110,000 pa Hybrid

Senior Specialist Solutions Engineer (AI/ML)

Databricks London, United Kingdom
On-site

AI Engineer

Gleeson Recruitment Group Birmingham, United Kingdom
£45,000 – £55,000 pa Hybrid

Pre-sales Senior Technical Solutions Engineer (Data and AI) x4

Databricks London, United Kingdom
Hybrid

Pre-sales Senior Technical Solutions Engineer (Data and AI)

Databricks London, United Kingdom
Hybrid

AI Implementation Engineer

Adria Solutions Manchester, United Kingdom
£50,000 – £85,000 pa Hybrid
Posted
7 Oct 2025 (9 months ago)

Job Title: AI Solutions Engineer
Location: Norwich
Salary: Excellent
Reports to: IT Director & Chief Marketing Officer (CMO)
Job Type: Full-time, Permanent (office based)
Galaxy Personnel is partnering with an exciting growing company, who are hiring a dedicated AI Solutions Engineer. You will be involved in design and implement custom AI-powered solutions by writing clean, production-ready code that integrates directly with APIs. This is a hands-on position where you’ll act as the sole AI expert, responsible for designing, building, and deploying the systems that define how we use AI.
This could be the role for you!!!
Key Role Objectives

  • Custom AI Development: Write backend code to integrate AI services into business workflows and customer-facing applications.
  • API Integration: Build robust, secure integrations with third-party APIs using backend languages.
  • System Design: Architect workflows and services that are maintainable, scalable, and secure.
  • Deployment & Maintenance: Package and deploy solutions in production (Docker, AWS Lambda, server less platforms, or equivalent).
    What you will need:
  • Strong backend development skills in Python, Node.js, or a similar language (this is mandatory).
  • Proven experience with API consumption, authentication, and integration.
  • Familiarity with cloud platforms (AWS, GCP, Azure).
  • Ability to design and implement production-grade backend services.
  • Solid understanding of software engineering practices: version control, testing, CI/CD, monitoring.
    Desirable Skills
  • Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
  • Experience with speech and voice AI APIs (Eleven Labs, Whisper).
  • Knowledge of chatbot/voicebot design for customer service or sales.
  • DevOps experience (Docker, Kubernetes, and CI/CD pipelines).
    If this is a role you would be interested in and want to hear more
    Contact David Steel (phone number removed)

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.