Senior AI Systems Engineer (Production & Agentic ML)

Extrac.ai

Greater London

Hybrid

GBP 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Private Medical Health Insurance
Enhanced pension contributions
Flexible working
London office two days a week

Job summary

ExTrac is seeking a Senior Software Engineer to join its AI team in London, building Co-Analyst and the analytical AI features around it. You will own services end to end across Python and Go, and work with the data and ML teams to productionize research-driven capabilities.

You will design APIs, ensure latency and reliability, and ship features weekly. The role requires 4+ years producing production-grade services, with experience in distributed systems, cloud infrastructure, and CI/CD.

Qualifications

  • 4+ years of professional software engineering experience with production-grade services and end-to-end ownership.
  • Proficiency in building services in Python, with working knowledge of Go.
  • Experience with cloud infrastructure, infrastructure as code, and CI/CD pipelines.
  • Experience with feature flags and trunk-based deployment.
  • Comfortable taking a PRD and scoping a technical design.

Responsibilities

  • Build and operate production backend services in Python and Go, including latency, cost, and reliability.
  • Design APIs used by internal teams and customers, with clear contracts and versioning.
  • Own end-to-end services, from design to deployment and operation.
  • Contribute to system design and architecture decisions.
  • Collaborate with analysts, product, and ML teams to productionize research features.

Skills

Python
Go
Distributed systems
API design
Testing

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes
CI/CD pipelines
Elastic (Elasticsearch)

Job description

ExTrac is seeking a Senior Software Engineer to join its AI team in London, building Co-Analyst and the analytical AI features around it. You will own services end to end across Python and Go, and work with the data and ML teams to productionize research-driven capabilities.

You will design APIs, ensure latency and reliability, and ship features weekly. The role requires 4+ years producing production-grade services, with experience in distributed systems, cloud infrastructure, and CI/CD.

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