AI QE/SDET Engineer

Los Angeles, California, US on site Until 9/26/2026 H-1B sponsor history First posted July 28, 2026 Last posted July 28, 2026
Job description

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

Requirements

  • 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

Benefits

This position comes with competitive compensation and benefits package:

  1. Competitive salary and performance-based bonuses
  2. Comprehensive benefits package
  3. Career development and training opportunities
  4. Flexible work arrangements (remote and/or office-based)
  5. Dynamic and inclusive work culture within a globally known group
  6. Private Health Insurance
  7. Retirement Benefits
  8. Paid Time Off
  9. Training & Development
  10. *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.

About this role

Summary

Re-architect testing harness, integrate with SDLC, instrument telemetry, and optimize AI components.

Job title

AI QE/SDET Engineer

Experience level

recent platform/backend work

Industry

software

Location requirements

Remote or in Los Angeles, CA, USA

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

pythontypescriptAPI designtest automationBDDPlaywrightSeleniumKubernetesOpenShiftSnowflakeLLM frameworksAI gateway

Preferred skills

TDMsynthetic data pipelinebrownfield sequencinginsurance domain

Specializations

pythontypescripttest automationLLM frameworksAPI design
Locations

Structured locations inferred from the posting.

California, USA

Remote State

Los Angeles, CA, USA

On-site City