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Founding Head of Engineering

InHouseAI United States · $225K–$300K/yr

Technology, Information and Internet · 2-10 employees

Apr 15
Remote engineering-manager Principal (10+ yrs) Full-time United States
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About the role

You will own the software architecture and delivery while designing and evolving production-grade agentic AI systems. Additionally, you will hire, manage, and grow the engineering team while collaborating with lawyers to translate legal workflows into technical solutions.

What they look for

Python Software architecture Agentic AI LLM orchestration Retrieval systems Evaluation infrastructure Technical leadership Team management Product development Frontend development Workflow UI System design Production-grade engineering Regression testing Prompt engineering

Requirements

The role requires over 10 years of software engineering experience, including at least 3 years in Python and 5 years in a technical leadership capacity. Candidates must have proven experience building agentic AI systems in production and managing engineering teams.

Benefits

Competitive salary Founding-level equity Health insurance Dental insurance Vision insurance Unlimited PTO

Full description

Founding Head of Engineering

Location: Los Angeles > West Coast > US & Canada Type: Full-time

About Inhouse

Inhouse is the #1 AI lawyer for small to midsize businesses. We combine AI, our own law firm, and an expert feedback loop to deliver fast, compliant, high-quality legal work at a fraction of the cost and turnaround time of traditional firms.

We grew revenue 1,500% last year and recently raised a $5M seed round from leading VCs and the former CEO & Cofounder of LegalZoom.

About the Role

General-purpose LLMs are not reliable for high-stakes legal work. We are building expert-in-the-loop AI systems that continuously improve through lawyer feedback, strong retrieval, structured evaluation, and production-grade engineering.

We are looking for a founding Head of Engineering to take our systems to the next level. This is a hands-on technical leadership role for someone who has built agentic AI systems in production.

You will own architecture and delivery, build and manage the engineering team, and define how AI systems are built at Inhouse. You will work directly with lawyers to translate legal workflows into reliable, production-grade AI systems.

What You’ll Do

  • Own software architecture and delivery: design, deploy, and operate systems at scale
  • Design and evolve our AI systems, including:• prompting and orchestration logic
  • context and retrieval systems (search, integrations, memory)
  • evaluation infrastructure (LLM-as-judge, regression testing)
  • expert feedback systems (building eval sets from their natural workflow)
  • Stay on the frontier of AI and legal AI
  • Hire, manage, and grow the engineering team (currently 3 FTEs)

What We’re Looking For

Required

  • 10+ years of software engineering experience (3+ years in Python)
  • 5+ years in a technical leadership role with ownership over architecture, delivery, and production systems
  • Experience hiring and managing engineers
  • Built agentic AI systems in production, including:• goal-directed reasoning, planning, and tool use
  • multi-agent or sub-agent architectures
  • context management and memory systems
  • Built evaluation systems (e.g. LLM-as-judge, automated evals, regression testing)
  • Worked in an AI-native development environment (Claude Code, Cursor, Codex, etc.)
  • Product mindset - ideally from a successful startup environment
  • Enough frontend or workflow UI experience to collaborate across the product stack

Compensation & Benefits

  • Competitive salary + meaningful founding-level equity
  • Fully covered health, dental, and vision
  • Unlimited PTO
  • High-impact work at the core of a rapidly growing legal AI company

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