Software Engineer (Remote)

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. As a Software Engineer, you will contribute across the entire stack, from front-end and back-end development to DevOps and machine learning, while owning various features of the platform. Responsibilities: Own and deliver AI-powered features end-to-end across with speed, scalability, and startup-level autonomy; 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; Maintain CI/CD, scale cloud infrastructure (AWS, Docker), and ensure observability/security; Built robust data models and analysis workflows by integrating specific client requested analyses into our platform; Collaborate with CTO/CPO on roadmap, architecture, and rapid iteration based on customer feedback; 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; Launch a new analysis that a customer asked for with a quick turnaround; Productionize at least one agent workflow with fault tolerance, retry logic, and monitoring to handle real investor data at scale without downtime; Upgrade CI/CD pipelines to enable quick deployments, automated test runs, and rollback safety; Improve ingestion pipelines to reliably handle files with unknown schemas and reduce processing latency by at least 30%; Partner with the CTO/CPO in 2–3 customer feedback cycles to iterate on features and prioritize the roadmap Qualifications: 4+ years building and shipping full-stack applications in production; Strong portfolio or GitHub 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, DevOps: CI/CD, containerization, serverless deployment, Databases: PostgreSQL, Data: Warehouses & lakes, ML/AI Tools: PyTorch, Hugging Face, LlamaIndex, LangChain; Solid understanding of DevOps principles and experience with cloud platforms (AWS, GCP, Azure); 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 Required Skills: Full-Stack Development, AI applications, FastAPI, Python, Next.js, CI/CD, PostgreSQL, PyTorch, Hugging Face, LlamaIndex, LangChain, AWS, GCP, Azure, Kubernetes, Problem-solving