Skip to content
Skip to content
AI Engineer Jobs
Capgemini

AI QE/SDET Engineer

Capgemini

Location
Onsite (Los Angeles, California)
Employment
Full-time
Level
Senior Level
Posted 2 weeks ago

About the Role

Capgemini seeks an AI QE/SDET Engineer to re-architect a test harness for an agent-first SDLC platform. The role focuses on headless, multi-tenant execution, telemetry integration, and stability scoring within a deterministic, spec-driven system.

Skills

Python TypeScript API Design Event-driven Orchestration Gherkin/BDD Playwright Selenium CI Integration LangGraph CrewAI Kubernetes OpenShift Snowflake AI Gateway Patterns Token Economics Test Automation

Benefits

  • Private Health Insurance
  • Retirement Benefits
  • Paid Time Off

Perks

  • Performance-based Bonuses
  • Flexible Work Arrangements

Full job details

About the Engagement

This role sits within a client's spec-driven SDLC platform — an agent-first system where the specification is the single source of truth and downstream artifacts are generated from it, not described by it. The platform spans Requirements authoring, Test Data Management, CodeGen, and the QE test harness on a common foundation, built on three pillars: agent-first, input-flexible, and deterministic. Deployed on ROSA with Snowflake as the data platform and Portkey as the AI gateway.

Responsibilities

  • Re-architect the harness for headless, multi-tenant execution — durable orchestration, queued and scheduled runs
  • Wire it into the E2E SDLC spine.
  • Integrate with TDM's two-lane architecture and the Repo Knowledge Plane
  • Instrument telemetry, flake detection, and stability scoring that gate promotion

  • Experienced software engineering, recent platform/backend work
  • Demonstrated experience re-platforming an IDE-bound tool into a shared service — core to the role
  • Strong Python and/or TypeScript; API design, event-driven orchestration
  • Test automation depth — Gherkin/BDD, Playwright or Selenium, CI integration
  • Agentic/LLM frameworks (LangGraph, CrewAI, Strands) with deterministic control around probabilistic components
  • Kubernetes/OpenShift (ROSA a plus), Snowflake, AI gateway patterns
  • LLM cost-awareness — token economics as a design constraint

Nice to Have

  • TDM or synthetic data pipeline ownership
  • Brownfield sequencing experience
  • Insurance domain experience

This position comes with competitive compensation and benefits package:

  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote and/or office-based)
  • Dynamic and inclusive work culture within a globally known group
  • Private Health Insurance
  • Retirement Benefits
  • Paid Time Off
  • Training & Development
  • *Note: Benefits differ based on employee level

    • About Capgemini

    Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2025.