Senior / Staff AI Engineer (Agentic Systems, Evals & Enterprise AI Reliability)

Location: San Francisco preferred; hybrid / in-person, with relocation support for strong candidates.

Salary: Senior: approximately $240,000–$250,000 base; Staff: up to approximately $300,000 base; equity included.

Company

hirify.global is a specialist recruitment partner representing a high-growth, venture-backed SaaS company building AI agents for audit, assurance, cybersecurity, privacy, and financial workflows.

What you will do

• Build and ship AI agents that automate complex audit and advisory workflows end to end.
• Design agent orchestration systems combining LLMs, tools, retrieval, prompts, business logic, and guardrails.
• Build evaluation frameworks, feedback loops, and observability systems for production AI behavior.
• Develop retrieval pipelines, RAG systems, vector database workflows, and embedding infrastructure.
• Prototype rapidly, validate solutions, and harden them for enterprise-grade reliability.
• Partner with Product, Design, Engineering leadership, and domain experts to translate customer problems into agent capabilities and create reusable platforms and tooling.

Requirements

• Strong production software engineering experience in complex, real-world systems.
• Hands-on experience shipping LLM-powered products or features serving real production traffic; research, proof-of-concept, demo, or internal-experiment experience alone is insufficient.
• Strong TypeScript, Python, and Postgres skills with solid distributed-systems fundamentals.
• Experience with agent orchestration, retrieval pipelines, RAG architectures, vector databases, and embedding models.
• Practical experience building evaluation frameworks for model outputs, agent behavior, reliability, or feedback loops.
• Familiarity with modern LLM APIs and agent frameworks such as OpenAI, Anthropic, Gemini, LangGraph, or similar tools.
• Strong product judgment, ownership, communication skills, and comfort operating in ambiguity.
• Staff-level candidates should have experience setting technical direction across teams, mentoring senior engineers, and defining AI reliability or platform standards.
• Ability to work closely with a San Francisco-based team; relocation support is available for exceptional candidates.

Nice to have

• Experience creating reusable abstractions, patterns, platforms, and tooling that improve quality and engineering velocity across an organization.

Culture & Benefits

• Permanent position with hybrid / in-person collaboration.
• Build AI agents for high-stakes enterprise workflows where trust, reliability, explainability, and evaluation are core technical problems.
• Meaningful ownership across agentic systems, AI platform infrastructure, and customer-facing product experiences.
• Well-funded, high-growth environment with strong customer traction and AI central to the product roadmap.
• Base compensation includes an equity package.