Software Engineer (Full-time)
Location: New York, USA
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 dealmaking 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. with over 1M in ARR and an oversubscribed seed funding round.
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 DevOps 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.
Key Responsibilities:
- Full Stack Product Software Development: Design, develop, and maintain scalable and efficient front-end and back-end systems using modern frameworks and technologies (see below for details)
- Applied Machine Learning & RAG: Implement and refine Retrieval-Augmented Generation (RAG) techniques to enhance our AI models, ensuring best practices are followed.
- DevOps: Contribute to the managing and optimization of our CI/CD pipelines, cloud infrastructure, and deployment processes to ensure reliability, observability and scalability.
- Strategic Planning: Work directly with the CTO and CPO to contribute to product road map, prioritizing customer needs and the company mission
Some recent work and milestones our team has been working on:
- Building out an optimized DAG pipeline using a data warehouse for data lineage, visibility, and realtime auditing.
- Creating robust data ingestion pipelines to handle unknown schemas at runtime
- Launching agentic AI diligence systems on real investor data
- Implementing SOTA Text-2-SQL models in production with real data
- Redefining data models and leveraging postgres’s vectorization techniques for in-house RAG
Qualifications:
- Proven experience over 2+ years as a full-stack developer in production environments.
- A strong portfolio of projects showcasing your skills. If you don’t have the pre-requisite experience but have worked on some really interesting and complex projects, we might look at it (Please send your project details in the email).
- Experience with developing modern AI applications, including but not limited to: Retrieval-Augmented Generation (RAG), Text-2-SQL, and AI Agents (MCP)
- Familiarity with some or most of the following technologies that we use:
- Backend: FastAPI (Python)
- Frontend: Next.js
- Retool
- Databases: SQL(PostgreSQL, pgvector nice to have),
- Data Warehouses + Lakes
- Machine Learning/AI: PyTorch, Hugging Face, LlamaIndex, Langchain
- Infrastructure: Digital Ocean
- Containerization & Orchestration: Docker, Kubernetes
- Nice to have: Monitoring & Logging, Testing frameworks (Pytest, Jest), Data pipelines (ex Dagster), CI/CD (CircleCI), Message Queues/Streams (Celery, Redis, RabbitMQ)
- Solid understanding of DevOps principles and experience with cloud platforms (AWS, GCP, Azure, or Digital Ocean).
- Strong problem-solving skills and the ability to work independently in a fast-paced startup environment.
- Passionate about staying up to date with the latest developments in AI and technology.
Nice to Have:
- Experience working in the fintech sector.
- An advanced degree in Machine Learning / Artificial Intelligence with a proven record of success in applying it (career and/or projects)
- Experience as a previous founder and/or early stage employee at a technology company
Why Join Us?
- Novelty and Trailblazing: We aren’t building another CRUD app, or a GPT wrapper. We’re a team of researchers, engineers, and domain experts who are building a new generation of technology for the finance industry. What you learn here has never been done or applied in this industry before (and all of our customers are saying the same thing).
- Impact & Ownership: As a early software engineer, you will have a significant impact on the direction of our product and company. You will own key features and see the direct impact of your work.
- Innovative Culture: Be part of a team that values creativity, autonomy, and staying ahead of the curve in the latest AI advancements.
- Competitive Compensation: We offer a competitive salary, equity, and benefits package that reflects your value to our team.
How to Apply: If you are excited about the opportunity to work on innovative AI solutions and want to be a part of a company that values creativity, autonomy, and growth, we would love to hear from you. Even if you don’t meet every single qualification, we encourage you to apply. We’re looking for talented and passionate individuals who are eager to learn and grow with us.
