Senior Software Engineer

Keye•New York City, NY

10d

About The Position

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 and an oversubscribed seed funding round. We also have a long waitlist for early access users, and are already working with quite a few megafunds. 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 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.

Requirements

Proven experience over 2+ years as a full-stack developer in production environments.
A strong portfolio of projects showcasing your skills.
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
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 Haves

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).
Monitoring & Logging, Testing frameworks (Pytest, Jest), Data pipelines (ex Dagster), CI/CD (CircleCI), Message Queues/Streams (Celery, Redis, RabbitMQ)
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

Responsibilities

Design, develop, and maintain scalable and efficient front-end and back-end systems using modern frameworks and technologies.
Implement and refine Retrieval-Augmented Generation (RAG) techniques to enhance our AI models, ensuring best practices are followed.
Contribute to the managing and optimization of our CI/CD pipelines, cloud infrastructure, and deployment processes to ensure reliability, observability and scalability.
Work directly with the CTO and CPO to contribute to product road map, prioritizing customer needs and the company mission