# Staff Engineer, Agentic Intelligence

**Company:** [HomeVision](https://hotfix.jobs/companies/homevision)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Experience:** 7+ years
**Skills:** Python, Go, TypeScript, Llm-Based Systems, Agentic Systems, Rules Engines, Policy Frameworks, Dsl Frameworks, Configuration-Driven Systems, Evaluation Frameworks
**Posted:** 2026-06-13

> Own the policy framework and agent harness for an AI underwriting agent. Design configurable policies, build evals, and ship production LLM/agentic systems. Partner with ML engineers and product leadership on the agentic roadmap.

## Job Description

## What you’ll do
- Own the policy framework. Design and build the framework that turns underwriting judgment into policies the agent reasons against - structured so policies can be configured per lender, investor, and loan product, customized for edge cases, and changed dynamically without a code deploy.
- Author the policies themselves. Translate dense, real-world underwriting rules - including escalation paths and human-in-the-loop boundaries - into clear, testable policy that the agent executes reliably.
- Make policy quality measurable. Establish and tune evals that prove a given policy behaves correctly across messy, real loan files. Build the datasets and harnesses that measure it, and turn results into a fast iteration loop.
- Own the agent harness it runs in. Maintain the runtime the agent operates in - tool use, orchestration, context management, retries, and guardrails - so policies execute reliably and safely on complex, multi-step tasks.
- Elevate the team. Establish the patterns, libraries, and review standards the rest of the team builds agents and policies against. Mentor and recruit the engineers who’ll work alongside you.
- Ship fast and learn faster. Take capabilities from rough ideas to production in days, not weeks. Watch how they perform on real files and rapidly iterate.

## Who you are
- You’re deeply product-oriented. You enjoy engaging with customers and learning a new domain. You think beyond implementation details and care how technical decisions shape outcomes and trust.
- You’re a builder at heart. You’ve shipped meaningful systems used by real customers. You likely have side projects, strong opinions about technology, and genuine curiosity about where AI is heading.
- You operate with urgency and ownership. You move quickly without sacrificing reliability or trust. You proactively identify problems, communicate clearly, and drive solutions.
- You elevate the people around you. You bring strong engineering judgment, high standards, and collaborative energy.
- You’re excited by difficult workflow problems. Agent reliability, evaluation under ambiguity, encoding judgment as configurable policy, and AI-assisted decision-making genuinely interest you.

## What you’ll bring on the technical side
- Strong engineering proficiency. Your coding skills are top-notch, as is your ability to wield AI-powered coding tools to expand your impact.
- Experience building and operating LLM-based or agentic systems in production.
- Experience designing configuration-driven systems - rules engines, policy/DSL frameworks, feature-flag or config platforms, or similar systems where behavior is driven by data, not redeploys.
- A rigorous, empirical approach to evaluation - you know how to measure quality in systems where “correct” is hard to define, and you trust data over vibes.
- Comfort working across the stack when it matters - you’re comfortable moving between our Go/Python backend and our TypeScript frontend to build holistic solutions.
- Track record of leading a technical surface end-to-end - not just features. Bonus if you’ve worked on decisioning, document understanding, or human-in-the-loop products.

## How we work
- We’re a hybrid team headquartered in San Francisco, with team concentrations in Seattle and Argentina, with other great team members in parts of the U.S.
- Our values are the ones we actually use: Start with questions, not answers. Run at problems - make your footprint bigger than your foot. Continuous learning, continuous improvement. Be transparent and collaborative. Value time. Play to win, win for everyone. Always do the loving thing.

## Compensation and benefits
- Competitive compensation calibrated to senior/principal-level engineers in San Francisco
- Meaningful equity ownership
- Full medical, dental, and vision coverage
- 401(k) with company match
- Flexible vacation policy
- Parental leave
- Learning and professional development support

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