TWG Global AI
Senior / Staff Software AI Test Engineer, AI Engineering
Santa Monica, California, United States · Staff+
Sponsorship not specified$190k-$250kDetected 69 days ago
PythonJavaiOSObject-Oriented ProgrammingCode ReviewGitAzureDockerCI/CDGitHub ActionsJenkinsCircleCILLMsRAGAgentic AILangGraphSeleniumCypressPlaywrightpytestTest Automation
About the role
- This is a software engineering role focused on test automation.
- You'll work shoulder-to-shoulder with AI engineers and data scientists, contributing production-quality code to shared repositories.
Responsibilities
- Framework and harness engineering Design and build scalable, reusable test automation frameworks for AI agents, LLM-powered applications, and underlying APIs.
- Treat test code as production code: code review, type hints, documentation, library design.
- Evaluation infrastructure Build evaluation infrastructure for benchmarking agent performance against SOTA LLMs, competitors, and internal baselines.
- Own regression suites, golden datasets, rubric-based evals, and metric dashboards.
- Build tooling for synthetic test data generation, edge-case discovery, and adversarial testing.
- Resilience and load Design and run release, system, performance, and load tests against streaming, stateful, and async systems.
- Build chaos and fault injection tooling for token expiry, connection pool exhaustion, provider failover, and cache pressure scenarios.
- Drive contract testing across LLM providers (Bedrock, Anthropic, OpenAI) to catch parity drift.
- Build trace-based assertions on LangGraph state, tool calls, and agent decisions - debugging an agent failure means replaying graph state, not re-running a prompt.
- Human-in-the-loop and partnership Implement HIL review workflows where automation alone cannot validate quality, then push the automation boundary outward.
Requirements
- 3-7 years of software engineering experience, with a meaningful portion focused on test automation, SDET, or software engineering in test roles.
- Experience testing across multiple client surfaces: iOS apps, plugins, and Chrome extensions.
- Proven experience integrating test automation into CI/CD systems (GitHub Actions, Jenkins, CircleCI, GitLab CI, or similar).
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
Nice to have
- Experience with Azure (our primary cloud) and containerization (Docker).
- Experience testing RAG pipelines, agentic workflows, or multi-step tool-calling systems.
- Compensation: The base pay for this position is $190,000-250,000.
Skills
- Our agents are written in LangGraph and run on Azure on the TWG side, with a parallel Vercel-based stack on the Palantir side.
Compensation
- The base pay for this position is $190,000-250,000.
- A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.
Benefits
- Champion quality engineering practices across the team: code review, coverage standards, observability, reproducibility.
Company info
- code review, coverage standards, observability, reproducibility.
- Ensure user-centric validation so AI outputs are accurate, reliable, and meet real-world application needs.
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This listing is sourced directly from TWG Global AI's careers page and normalized into a canonical job model.