The Opportunity :

Were looking for a GenAI Expert who can build AI systemsand break them before production does.

This is a high-impact IC role at the intersection of Generative AI, AI Engineering and Quality Engineering.

Youll own the complete lifecycle : architect - build - test - deploy - measure - improve.

If youre equally comfortable designing a RAG pipeline and designing the test strategy that proves it works, this role is for you.

What Youll Own :

- Build and ship production-grade LLM/RAG applications and AI agents.

- Design AI testing and evaluation strategies for accuracy, reliability, hallucinations, bias and non-deterministic outputs.

- Develop test automation across unit, integration, E2E, regression and performance.

- Optimize models, prompts, retrieval, inference, latency and cost.

- Establish AI quality gates, CI/CD automation, telemetry and production monitoring.

- Experiment, measure and continuously improve AI performance.

- Mentor engineers and drive GenAI engineering & quality best practices.

What You Bring :

- 8+ years overall experience, combining strong GenAI and QA/Test Automation expertise.

- 4+ years hands-on experience building/shipping GenAI/LLM solutions.

- 5+ years strong experience in QA, testing and automation.

- Hands-on expertise with RAG, LLM APIs, vector databases, prompt engineering and model evaluation.

- Experience with OpenAI / Anthropic / Hugging Face, Pinecone / Weaviate / FAISS.

- Strong automation experience with PyTest, Jest, Selenium, Cypress or similar.

- Experience with LLM evaluation, hallucination testing, model regression, bias testing and A/B testing.

- Strong understanding of accuracy vs. latency vs. cost trade-offs.

- A builder mindset with strong ownership and the ability to operate independently.

Why This Role? :

This isn't traditional QA.

This isn't just GenAI experimentation.

Youll build AI systemsand engineer the quality layer that makes them production-ready.

If youre excited about AI + Automation + Quality at scale, we want to hear from you.