Artificial Intelligence Engineer

Overview

AI Engineer (Agent Systems) — San Francisco (hybrid / in-office preferred)

Early-stage, post-PMF (~20 people)

B2B SaaS / AI / Enterprise workflows

$200-$300k base salary

We’re building domain-specific AI agents that automate complex, high-stakes enterprise workflows in a regulated, trillion-dollar industry. Our systems are used in real production environments by large enterprise customers and are already driving meaningful revenue growth.

The company is well-funded, growing quickly, and led by a highly technical founding team with prior startup and big-tech experience. This is a hands-on role with real ownership and direct product impact.

We’re looking for an AI Engineer to help design, evaluate, and product ionize AI agent systems. This is not a model training or research role. You’ll focus on making agents reliable, measurable, and useful in real-world workflows.

You’ll work across experimentation, tooling, and infrastructure to help agents reason, act, and improve over time in production.

• Build end-to-end evaluation frameworks to measure and improve agent performance
• Experiment with modern agentic techniques (e.g. multi-agent systems, feedback loops, reasoning-from-feedback)
• Design and implement lightweight orchestration layers, services, and internal tools that enable agents to operate reliably
• Translate emerging research and ideas into practical production experiments
• Work closely with product and leadership to ship quickly and iterate based on real customer usage

• Strong Python experience and comfort building production systems
• 2–4+ years of hands-on ML / AI experience, ideally in applied or product-focused roles
• Experience owning systems end-to-end, from early prototypes to production
• Clear communicator who can reason through tradeoffs and explain decisions
• High ownership mindset — comfortable operating with ambiguity and moving fast

• Experience at an early-stage startup (0→1 or first ~30 engineers)
• Background in B2B SaaS or enterprise software
• Prior founder or early engineer experience
• Advanced degree in AI/ML (can offset years of experience)

• Not a research scientist or paper-focused role
• Not primarily model training or fine-tuning
• Not a slow-paced or low-ownership environment

• Real production impact with enterprise customers
• Significant ownership over core AI systems
• Opportunity to help define how AI agents work in high-stakes workflows
• Strong growth trajectory and meaningful career upside