An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
Staff AI Engineer at People In AI Staff AI Engineer at People In AI in El Verano, California Posted in 3 days ago.
Type:
full-time
Job Description:
Staff AI Engineer Compensation:
$270k to $300k base + equity
Location:
San Francisco, CA Join a fast-growing B2B SaaS company using applied AI to modernize complex, knowledge-intensive professional workflows. AI is a core company priority, with significant investment in platform infrastructure, evals, ingestion, observability, and production LLM systems. The Role People In AI is hiring a Staff AI Engineer to help build the foundational AI platform behind a growing suite of intelligent products. You'll work across AI infrastructure and product engineering, taking systems from prototype to reliable production deployment. This is a high-autonomy IC role with significant influence over architecture, platform direction, and engineering standards. What You'll Do Build and scale AI platform capabilities across evals, observability, ingestion, and orchestration Design and improve RAG pipelines, embeddings workflows, retrieval systems, and prompt architectures Build tooling for testing, monitoring, versioning, and debugging LLM-powered systems Own AI systems from experimentation through production Partner with product, design, engineering, and domain experts to automate complex workflows Shape technical standards and architecture across the broader AI engineering organization What You'll Bring Strong Python and software engineering fundamentals Experience shipping production AI systems using LLMs, RAG, agents, evals, NLP, or AI/ML infrastructure Strong understanding of reliability, scalability, testing, and observability Experience owning ambiguous, technically complex problems A pragmatic builder mindset focused on durable production systems rather than demos Tech Stack Python LLMs RAG Embeddings and semantic retrieval AI agents Evaluation frameworks AI observability Data ingestion pipelines Workflow orchestration Backend and distributed systems Why Join? You'll help shape the AI foundation of a well-funded, fast-scaling SaaS company where AI is central to the product roadmap. The role offers significant technical ownership, difficult production AI problems, and the opportunity to influence architecture across the organization. Compensation is $270k to $300k base + equity. About People In AI People In AI is a specialist talent partner connecting exceptional AI, machine learning, data, and software engineering talent with ambitious technology companies across the US.
