Production-Grade AI Engineer: Multi-Agent Systems

Aviva plc

Norwich

Hybrid

GBP 43,000 - 53,000

Full time

14 days+
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Benefits offered by this job

Salary from £48K+ bonus
Bonus opportunity 8% of annual salary
Generous pension scheme
29 days holiday + carry
Private Medical Benefit
Aviva product discounts
Matching Share Plan
Save As You Earn
Flexible benefits including cycle to/—
Volunteer days

Job summary

Aviva plc is looking for an Applied AI Engineer to contribute to the delivery of production-grade AI systems across multiple UK locations. You will implement multi-agent components, prompts, and tool integrations under guidance from senior engineers, ensuring robust testing and governance.

The role emphasizes practical enterprise AI engineering, collaboration with platform and product teams, and adherence to responsible AI standards while growing technical expertise in a large insurer

Qualifications

  • Proven experience in production Python development for AI systems.
  • Understanding of deploying LLM-based solutions in enterprise environments.
  • Experience with AI evaluation and governance practices.

Responsibilities

  • Write clean, production-quality Python code for multi-agent systems and AI components.
  • Design and implement component-level AI solutions and prompt strategies.
  • Maintain test coverage across AI modules to ensure reliability.

Skills

Python Proficiency
AI/LLM knowledge
GenAI frameworks
Software engineering
AI coding tools
Cloud awareness
Quality & governance
Education & experience

Education

Bachelor's degree in Computer Science or related field

Tools

AWS Strands
OpenAI Agents SDK
Google ADK
LangChain/LangGraph
LlamaIndex
Git
CI/CD tooling

Job description

Aviva plc is looking for an Applied AI Engineer to contribute to the delivery of production-grade AI systems across multiple UK locations. You will implement multi-agent components, prompts, and tool integrations under guidance from senior engineers, ensuring robust testing and governance.

The role emphasizes practical enterprise AI engineering, collaboration with platform and product teams, and adherence to responsible AI standards while growing technical expertise in a large insurer

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