Job description

About the Company Our client is a fast-growing, Series A legal AI company building automation for plaintiff law firms, covering medical chronologies, demand letters, and medical record retrieval. The platform serves personal injury, medical malpractice, workers' compensation, and SSDI practices, with a roadmap extending into adjacent data-intensive sectors including eDiscovery, healthcare, and insurance. About the Role We are hiring AI Product Engineers to design, build, and iterate on the company's core AI-driven software. This is a high-ownership role at the intersection of engineering and product, where you will work directly with customers to translate real-world legal workflow problems into technical solutions that ship. The team is moving fast and needs engineers who can drive quality and innovation from day one without waiting for a playbook. What You'll Own • Build and enhance the company's AI-driven software, owning quality, scalability, and performance end-to-end • Collaborate directly with sales and engineering to understand customer needs and translate them into shipped product • Own product testing, debugging, and optimization to ensure seamless user experiences • Support technical implementation and troubleshooting during customer onboarding and integration • Maintain technical documentation of designs, processes, and systems as the product evolves Requirements Must-Have • 2–4 years of software engineering experience, ideally with SaaS or AI-driven products • Strong proficiency in Python, JavaScript, or other relevant programming languages • Familiarity with AI frameworks, machine learning concepts, and cloud platforms such as AWS, Azure, or Google Cloud • Proven ability to navigate ambiguity, proactively innovate, and deliver practical solutions in a fast-paced startup environment • Strong communication and collaboration skills, with the ability to partner effectively across teams Nice-to-Have • Experience working at a legal tech, healthtech, or other document-intensive SaaS company • Background building or iterating on AI pipelines for document processing or information extraction Key Details • Location: San Francisco, CA (in-person) • Employment: Full-time • Experience: 2–4 years • Salary: $200,000 – $300,000 USD per year, plus equity • Visa Sponsorship: Available (H-1B, OPT) Benefits & Perks • Comprehensive medical, dental, and vision • Competitive equity • Significant career growth at a rapidly scaling AI startup Interview Process • Intro call (30 min) • Technical interview with the hiring manager and a lead engineer (1.5 hours) • Paid in-office work trial (1–2 days) • Offer

Requirements

Must-haves

What You'll Own
Build and enhance the company's AI-driven software, owning quality, scalability, and performance end-to-end
Collaborate directly with sales and engineering to understand customer needs and translate them into shipped product
Own product testing, debugging, and optimization to ensure seamless user experiences
Support technical implementation and troubleshooting during customer onboarding and integration
Maintain technical documentation of designs, processes, and systems as the product evolves
2–4 years of software engineering experience, ideally with SaaS or AI-driven products
Strong proficiency in Python, JavaScript, or other relevant programming languages
Familiarity with AI frameworks, machine learning concepts, and cloud platforms such as AWS, Azure, or Google Cloud
Proven ability to navigate ambiguity, proactively innovate, and deliver practical solutions in a fast-paced startup environment
Strong communication and collaboration skills, with the ability to partner effectively across teams
Experience: 2–4 years

Nice-to-haves

Experience working at a legal tech, healthtech, or other document-intensive SaaS company
Background building or iterating on AI pipelines for document processing or information extraction
Location: San Francisco, CA (in-person)
Employment: Full-time
Salary: $200,000 – $300,000 USD per year, plus equity
Visa Sponsorship: Available (H-1B, OPT)

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Keywords to mirror

aipythonjavascriptmachine learningawsazure

Platform: manatal
Effort: medium

Benefits

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Dental

Vision