Senior Software Engineer

Harrison Clarke; San Mateo (CA); Hybrid; USD 250,000 - 300,000; Full time

Job summary

Harrison Clarke is seeking a Senior Software Engineer (Generalist / AI-Native) to join the San Mateo team. You will own critical technical challenges across the stack, from backend services to data processing pipelines and frontend components, leveraging AI coding agents to accelerate development.

You will work on scaling a multi-step document processing pipeline for enterprise customers, improving models where OCR and LLM tooling fall short, and ensuring reliable performance and memory

Qualifications

• Strong proficiency in Python and PostgreSQL across backend, data, and web layers.
• Experience with React for frontend components and web apps.
• Ability to contribute across backend, data, infrastructure and frontend.

Responsibilities

• Take ownership of critical technical problems and deliver outcomes.
• Move across stack as priorities evolve: backend, data, ML integration, infrastructure, frontend.
• Scale and harden a multi-step document processing pipeline for enterprise use.
• Improve models where OCR/LLMs fall short and optimize performance.
• Debug production issues and improve reliability, including memory and performance.
• Use AI coding agents to speed up development and review outputs.

Skills

Python

PostgreSQL

React

Data pipelines

Tools

Claude

AI coding agents

Job description

Role:

Senior Software Engineer (Generalist / AI-Native)

Location:

San Mateo, 4 days in office

Compensation:

$250,000 - $300,000 base + equity (depending on experience)

We are partnered with a fast-growing, VC-backed AI company building a deep technical intelligence layer for the physical world. The platform takes large volumes of complex technical documentation, often hundreds of gigabytes per project, and turns it into a connected, searchable knowledge graph. Users can ask questions, spot discrepancies and automate expert review workflows, and every answer links back to its source for verification. The product is already live on major enterprise projects worth hundreds of millions to billions of dollars, and some of the largest companies in the industry work with the team as design partners.

What You'll Do:

• Take ownership of the company's most pressing technical problems, work out what needs to be done and deliver the outcome.
• Move across the stack as priorities change: backend services, data processing pipelines, ML model integration, infrastructure, performance and frontend.
• Scale and harden a multi-step document processing pipeline so it can serve many more enterprise customers.
• Optimize and improve models where off-the-shelf OCR, LLMs and tooling fall short.
• Debug production issues and improve reliability, including performance and memory problems.
• Use AI coding agents to speed up development: delegate work, review what comes back, iterate and ship.

What We're Looking For:

• High agency: you see a problem and think "this needs to work, I'll figure out how." You're comfortable defining requirements yourself, making judgment calls and owning the result.
• AI-native engineering: you use tools like Claude and other coding agents heavily and effectively in your day-to-day work, well beyond occasional autocomplete.
• Strong generalist ability: you have solid experience with Python and PostgreSQL and can contribute across backend, data, infrastructure and web application layers with React.
• Proven builder: you have taken real systems from ambiguity to production, ideally at an early-stage startup, an AI-native company, a research-heavy environment or a 0-to-1 team inside a larger tech company.
• Customer orientation: you care about the practical impact of what you build, not just technical novelty.