Hybrid Forward-Deployed AI Engineer for Industrial Ops

Syspro

Manchester

Hybrid

GBP 65,000 - 100,000

Full time

12 hours ago
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Benefits offered by this job

25 days annual leave
Hybrid working environment
Pension contribution
Private Health Insurance
Death in Service
Group Income Protection
Health Cash Plan
Employee Assistance Programme
Cycle to Work
Bonus / Commission
Maternity & Paternity package

Job summary

Syspro is seeking a Forward Deployed Engineer to embed with customers, discover value from AI, and deliver production-ready deployments in weeks. Based from Manchester or London, you will work on both remote and on-site engagements, building with frontier AI tools and interfacing with existing ERP data.

You will prototype, deploy, and enable customers while shaping the product with feedback from pilots, aiming for rapid time-to-value and scalable deployment across manufacturing and distribution

Qualifications

  • Bachelor's degree or equivalent practical experience in Computer Science, Software Engineering, Data Science, or related field.
  • Minimum production software development experience with shipping software.
  • Experience building with LLMs, agents, APIs and data pipelines.

Responsibilities

  • Identify operational problems with pilot customers where Torque adds value.
  • Prototype, deploy, measure and scale use cases quickly.
  • Own end-to-end deployment from discovery to production rollout at accounts.

Skills

LLMs
Agent frameworks
Prompt design
APIs
AI tooling

Education

Bachelor's degree in Computer Science or related field

Tools

Syspro ERP
Cloud platforms

Job description

Syspro is seeking a Forward Deployed Engineer to embed with customers, discover value from AI, and deliver production-ready deployments in weeks. Based from Manchester or London, you will work on both remote and on-site engagements, building with frontier AI tools and interfacing with existing ERP data.

You will prototype, deploy, and enable customers while shaping the product with feedback from pilots, aiming for rapid time-to-value and scalable deployment across manufacturing and distribution

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