AI Product Engineer

Magentic
London
Workplace: HybridFull timeGBP 90,000 - 110,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Stakeholder management"]

Build the agentic core of the product, owning LLM-based features and agentic workflows end to end. Develop agent frameworks for multi-agent collaboration, benchmark models for performance, safety, and behavior, and operationalize AI by connecting it to customer systems including ERP integrations. Work with the CTO and procurement-focused customers to design and ship solutions that improve real-world procurement workflows and decision-making.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Magentic
Magentic
1 day ago

AI Product Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build the agentic core of the product, owning LLM-based features and agentic workflows end to end. Develop agent frameworks for multi-agent collaboration, benchmark models for performance, safety, and behavior, and operationalize AI by connecting it to customer systems including ERP integrations. Work with the CTO and procurement-focused customers to design and ship solutions that improve real-world procurement workflows and decision-making.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own development and deployment of LLM-based features and agentic workflows end to end.
  • •Develop agentic frameworks to support multi-agent collaboration.
  • •Benchmark LLMs for performance, safety, and behavioral monitoring.
  • •Operationalize AI features by building tools that connect to customer systems.
  • •Collaborate with customers and internal teams to understand problems and design solutions.

Pay and Benefits

Salary: GBP 90,000 - 110,000 annually
Perks:EquityParental LeavePaid LeavePensionChildcareMeal Allowance

Key Requirements

  • •Engineering experience at tech and product-driven companies, with strong code quality instincts.
  • •Experience shipping LLM-based solutions to production.
  • •Deep understanding of language model core technology and computer science fundamentals.
  • •Built end-to-end features in Python.
  • •Ability to communicate effectively with both technical and non-technical stakeholders.
Skills:CommunicationStakeholder management
Tech Stack:PythonLLMsAgentic workflowsMulti-agent collaborationERP

Company Brief

Magentic
Builds an enterprise AI agent platform (‘Mages’) that discovers and delivers cost savings across global manufacturing supply chains by automating procurement, contracts, and supplier workflows.
Industry: Procurement Platforms
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: London, United Kingdom
Founded: 2024
WebsiteLinkedIn