Senior Software Engineer; Hybrid

Overview

Software Engineer (Full-time)

Location: New York, USA (Hybrid 3-days per week)

About Us: Keye is a Y-Combinator (YC F24) and venture-backed startup focused on speeding up the due diligence process in private market mergers and acquisitions with AI.

Our platform analyzes data rooms in deal making using advanced data and machine learning techniques and gives investors 80% of the deal in under 5 minutes, a process that otherwise takes weeks! The output is an interactive diligence report to help funds say no to a deal much earlier and save millions on third-party diligence costs.

When firms use Keye to analyze deals, they’re tapping into a wealth of diligence knowledge and best practices that are baked into our proprietary analysis engine from over a decade of investor experience. With rapid deal analysis, firms can easily decide which deals are worth spending time on and then rapidly move forward on the best ones.

We are a group of investors and engineers (
Ex-Tesla, Goldman Sachs, Vista Equity Partners, McKinsey, multitude of startups). Our founding team has been part of 4 successful acquisitions as early employees, has over 20 total years of experience in M&A investing, and have been previous founders. Our technical expertise stems from specialized industries such as AI robotics, AI drug discovery, and AI-driven ecommerce advertising.

Keye is generating revenue and has grown 600% in the past 6 months and an oversubscribed seed funding round. We also have a long waitlist for early access users, and we re planning to release our beta to them in October. You’ll play a key role on the team, helping launch and ship features daily for users to test and provide feedback on.

Role Overview: As a Software Engineer, you will get in on the ground floor as a core hire with opportunities to lead and execute Keye’s vision. This is a unique opportunity to work across the entire stack—contributing to everything from front-end and back-end development to Dev Ops and machine learning. You will have the autonomy to own various features and be at the forefront of integrating the latest advancements in AI into our platform.

• Full-Stack Development: Own and deliver AI-powered features end-to-end across with speed, scalability, and startup-level autonomy.

  Applied AI Systems: Productionize and scale robust agent workflows for real-world data, with fault tolerance and orchestration for high reliability; if you’ve built customer facing technology with RAG, Text-to-SQL, or vector search before, that’s a plus.

  Dev Ops & Infrastructure: Maintain CI/CD
  , scale cloud infrastructure (
  AWS, Docker
  ), and ensure observability/security.

  Data Science & Backend Engineering: Built robust data models and analysis workflows by integrating specific client requested analyses into our platform.

  Strategic Product Engineering: Collaborate with CTO/CPO on roadmap, architecture, and rapid iteration based on customer feedback.

What you can expect to work on:

• Ship: Launch a core product feature that uses AI agents end-to-end—design the DB schema, build the backend API, implement the frontend UI, and deploy it to production.
• Analyze: Launch a new analysis that a customer asked for with a quick turnaround.
• Harden: Productionize at least one agent workflow with fault tolerance, retry logic, and monitoring to handle real investor data at scale without downtime.
• Integrate: Upgrade CI/CD pipelines to enable quick deployments, automated test runs, and rollback safety.
• Optimize: Improve ingestion pipelines to reliably handle files with unknown schemas and reduce processing latency by at least 30%.
• Collaborate: Partner with the CTO/CPO in 2–3 customer feedback cycles to iterate on features and prioritize the roadmap.

• 4+ years building and shipping full-stack applications in production.
• Strong portfolio or Git Hub with examples of complex, impactful projects (share links in your application).
• Experience developing modern AI applications, including AI agents
  , and ideally past POCs with RAG or Text-to-SQL
  .
• Proficiency in:
  • Backend: FastAPI (Python)
  • Frontend: Next.js
  • Dev Ops: CI/CD, containerization, serverless deployment
  • Databas…