Staff AI Engineer

Own your future:

Our culture isn't something people join, it's something they build and shape. We believe that every person deserves to be heard and empowered. If you're on the fence about whether you're a fit, we say go for it. Let’s build something great together.

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As a Staff AI Engineer, you will lead the design and evolution of production-ready AI systems that power intelligent product experiences across the platform.

You will collaborate across product, engineering, and data teams to bring LLM-powered features, retrieval systems, and agentic workflows into production, while setting technical direction and raising the bar for applied AI engineering practices.

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Must Haves:

- Proven experience designing and shipping customer-facing AI systems in production
- Strong experience with Generative AI and LLMs, including RAG, evaluation, orchestration, and cost/latency optimization
- Experience designing agentic or multi-step AI systems with tools, retrieval, and external integrations
- Strong programming skills in Python; additional experience with Go, Java, or similar languages will be a plus
- Strong system design and software engineering judgment in reliability, observability, testing, and production operations
- Track record of leading technical initiatives, making architecture decisions, and driving execution across ambiguous problem spaces

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Nice to Have:

- Experience with AWS services (e.g., EC2, EKS, RDS, ELB), infrastructure as code (Terraform), and CI/CD setup
- Strong experience with LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks
- Strong experience with AWS Bedrock, SageMaker, or similar managed AI platforms
- Experience with vector databases, embeddings, semantic search, and retrieval design
- Experience mentoring engineers and leading cross-team technical initiatives

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Key Responsibilities:

- Lead the architecture and implementation of AI systems and shared platform patterns
- Design and scale LLM pipelines, retrieval systems, and agentic workflows for customer-facing products
- Partner with product and engineering teams to identify, shape, and deliver high-value AI capabilities
- Improve observability, performance, reliability, and cost efficiency of AI systems in production
- Mentor team members and help define engineering standards, processes, and best practices
- Drive technical direction for applied AI systems across teams and product areas
- Review code, support quality initiatives, and contribute to operational excellence
- Troubleshoot complex production issues and participate in on-call support rotations

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