Founding Engineer (New Grad)

Founding Engineer (New Grad)

📍 New York City, In-Person/Hybrid | 💼 Full-time | 🛠 Early-stage startup

About Us

At InQuery, we’re building AI-powered software that helps legal and insurance professionals make sense of overwhelming stacks of medical records. Our platform automatically organizes, deduplicates, and summarizes documents so claims adjusters, attorneys, and medical experts can get to the facts faster and with fewer errors.

We work across some of the most complex and high-stakes areas of insurance and law—like workers’ compensation, liability and mass tort, personal injury, and disability/Medicare set-asides—where accurate understanding of medical records directly impacts costs, outcomes, and people’s lives.

We’re a small but ambitious team of engineers from Stanford and MIT, backed by Y Combinator, General Catalyst, and DRW VC. Today we process over 100,000 pages of records every month, and we’re scaling rapidly toward millions.

The Role

As a Founding Engineer, you’ll work directly with the founders on everything from backend systems to frontend UX. You’ll help us take real customer problems and quickly design, build, and ship solutions. Some days you’ll be polishing a UI for attorneys, paralegals, and nurses, other days you’ll be designing schemas for medical records at scale, or even joining customer calls to understand their workflow deeply. We have plenty of work across net new features, backend scalability, and ML/AI Agent research.

This is a role for someone who wants ownership, variety, and velocity — and who’s excited to help scale a product from thousands to millions of pages per month.

What You’ll Do

• Build end-to-end features: design, implement, and ship customer-facing functionality across the stack.
• Own product polish: take responsibility for usability, frontend/UX details, and design taste (even if you’re still learning it).
• Think in trade-offs: help us balance speed vs. scalability, polish vs. delivery.
• Collaborate directly with customers: understand their pain points, demo prototypes, and iterate fast.
• Design for yourself: All of our engineers spend significant time using the product and polishing it to taste. You will develop opinions about the best workflows and have the chance to build them for yourself to make the product better for others.
• Scale systems: help us move from 100k → 1M → 10M pages/month.
• Shape engineering culture: define early practices, tooling, and technical bar as one of the first engineers on the team.

What We’re Looking For

• Strong software engineering background (we’re open to language/framework mix).
• Comfort working across the stack (frontend, backend, ops) — or excited to get there quickly.
• Interest in frontend/UX/design and building intuitive user experiences.
• Appetite for ambiguity — you want to wear multiple hats in a small, high-velocity environment.
• Strong communication skills — you can explain technical decisions and work closely with founders and customers.
• Bonus: Experience building in AI/ML products, insurance, healthcare, or legal tech.

Our Tech Stack

• Frontend: TypeScript + Tailwind CSS
• Backend: Python (FastAPI)
• AI/ML: OpenAI APIs for document understanding and summarization
• Infrastructure: AWS (S3, RDS/Postgres, etc.)

Why Join Us

• Impact from day one: Your work will directly shape the product and company trajectory.
• In-person culture: Work side by side in NYC on a lean, fast-moving team. Option for hybrid work after month 1.
• Ownership: Equity + decision-making power as one of the first hires.
• Growth: Opportunity to grow into tech lead, product owner, or any role that excites you as we scale.
• Ambition: We’re scaling from 100k → 1M → 10M pages/month, and you’ll be at the center of making that possible.
• Mission: Modernize the medical-legal industry with meaningful, AI-powered technology.

Compensation

• Base Salary range $130k-$200k + generous early-stage equity package.
• Health, dental, and vision benefits.
• Early-stage upside: join as one of the first 5 employees and shape the company.

👉 This role is perfect for someone who’s excited about startups and wants to learn how to build a business from 1 -> 100 (and new product features from 0 -> 1).

Why We’re Building InQuery

Every medical-legal case runs on records. A workplace accident, a car crash, a surgery — each one generates documentation that grows from a single note into thousands of pages spanning ER visits, specialists, physical therapy, diagnostics, billing, and often years of prior history. These records touch everyone: adjusters, attorneys, physicians, case managers, vendors, and regulators. They form the backbone of medical-legal work.

The problem is that the system hasn’t kept up with the scale or complexity. Records arrive as PDFs, scans, handwritten notes, and exports from dozens of systems. They’re duplicated, out of order, or commingled across accidents and even patients. Reviewing them is almost entirely manual — adjusters copy-paste into spreadsheets, attorneys build timelines by hand, and nurses or paralegals spend 10–15 hours organizing a single file. It’s slow, expensive, and error-prone.

The consequences are real: missed details affect case outcomes, duplicated services inflate costs, and bottlenecks limit how many cases a team can handle. At scale, this inefficiency means fewer cases resolved, slower settlements, higher costs, and overworked staff.

At InQuery, we believe this work doesn’t have to be this painful. We’re building technology that takes unstructured records and makes them structured, searchable, and usable. Our system retrieves, segments, organizes, and augments records; extracts the structured data professionals actually need (providers, diagnoses, procedures, codes); and produces outputs like chronologies and timelines that teams can trust. The goal isn’t to replace human judgment — it’s to give experts the bandwidth to apply their skills where it matters most.

We’re already processing over 100,000 pages a month. By the end of this year, we need to scale to 1 million, and by 2026, 10 million. If you care about building reliable systems that solve messy, real-world problems — and about helping professionals in law, insurance, and healthcare do their jobs better — this is the place to do it.