# AI Engineer (All Levels)

**Company:** [Fieldguide](https://hotfix.jobs/companies/fieldguide)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $150k – $310k/yr
**Skills:** TypeScript, React, Python, Postgres, LLMs, RAG, Agent Frameworks, Vector Databases, OpenAI, Retrieval Pipelines
**Posted:** 2026-01-07

> Designs and builds AI agents, workflows, and evaluation systems for enterprise audit platforms. Requires experience shipping production software with TypeScript, React, Python, Postgres, LLMs, RAG, and agent orchestration.

## Job Description

## What You'll Own

### Building and shipping AI agents
- Design, build, and ship agentic systems that automate and augment complex audit workflows
- Translate customer problems into concrete agent behaviors and workflows
- Integrate and orchestrate LLMs, tools, retrieval systems, and logic into cohesive, reliable agent experiences
- Own agents in production, including performance and observability

### AI-native engineering execution
- Use AI as core leverage in how you design, build, test, and iterate
- Prototype quickly to resolve uncertainty, then harden systems for enterprise-grade reliability
- Build evaluations, feedback mechanisms, and guardrails so agents improve over time
- Design prompts, retrieval pipelines, and agent orchestration systems that perform reliably at scale

### Product judgment and customer impact
- Make tradeoffs about what to build, what to cut, and what not to build at all
- Partner closely with Product and Design to define agent capabilities that drive real customer outcomes
- Stay deeply connected to how customers actually use agents and optimize for the highest impact problems
- Identify the highest-leverage capability gaps and unblock them without waiting for direction

### Ownership of large product areas
- Take full ownership of large product areas rather than executing on narrow tasks
- Identify bottlenecks and unblock progress without waiting for direction
- Increase team velocity by building reusable abstractions, tools, and patterns for agent development

## Who You Are

Strong software engineer with AI-native instincts, bias to building, strong product judgment, learning velocity, grounded optimism, and end-to-end thinking.

## Experience

- Multiple years of experience shipping production software in complex, real-world systems
- Experience with **TypeScript**, **React**, **Python**, and **Postgres**
- Built and deployed LLM-powered features serving production traffic
- Designed retrieval pipelines and agent orchestration systems
- Implemented evaluation frameworks for model outputs and agent behaviors
- Worked with vector databases, embedding models, and RAG architectures
- Hands-on experience with modern LLM APIs (**OpenAI**, **Gemini**, **Anthropic**, etc.) and agent frameworks
- Comfort operating in ambiguity and taking responsibility for outcomes
- Deep empathy for professional-grade, mission-critical software

## Benefits

- Competitive compensation packages with equity ownership
- Comprehensive health and wellness benefits
- Flexible time off and work schedules
- Technology reimbursements
- 401(k) plan
- Twice-yearly in-person offsites across the U.S.

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**Canonical:** https://hotfix.jobs/jobs/8e89b475-47e1-4382-9272-355c16d491b6