Software Engineer

We are hiring on behalf of a venture-backed AI startup building intelligent software that automates business workflows.The company combines large language models, proprietary data, and human-in-the-loop systems to help customers complete high-value work faster and more accurately. Its engineering team is small, product-oriented, and responsible for taking ideas from early customer conversations through production.About the roleAs a Fullstack Software Engineer, you will own meaningful parts of the product from design through deployment.You might build a new React workflow one week, develop a Python service the next, and then work directly with customers to improve how an AI agent performs in production.This role is best suited to an engineer who enjoys moving across the stack, making product decisions, and shipping quickly in an early-stage environment.What you'll doBuild and launch customer-facing AI product featuresDevelop modern web applications using React and TypeScriptBuild backend services and APIs using Python and TypeScriptDesign relational data models using PostgreSQLIntegrate large language models, third-party APIs, and customer data sourcesDeploy and operate production services using AWSImprove application performance, reliability, observability, and securityWork closely with founders, product leaders, designers, and customersOwn projects from initial problem definition through productionHelp establish engineering standards as the team growsWhat we're looking forApproximately 1–9 years of professional software engineering experienceStrong production experience with Python, TypeScript, or bothExperience building web applications with React or NextJSExperience developing APIs, backend services, and database-backed applicationsFamiliarity with PostgreSQL or another relational databaseA track record of independently shipping meaningful product featuresStrong product judgment and attention to user experienceComfort working across multiple layers of a technical systemAbility to operate effectively in a fast-moving and sometimes ambiguous environmentClear written and verbal communicationEquivalent experience matters more than a specific number of years.Nice to haveExperience building AI, LLM, agent, or machine-learning productsExperience with AWS, GCP, Docker, Kubernetes, or TerraformFamiliarity with LLM evaluations, retrieval, prompting, or observabilityPrevious experience at an early-stage or venture-backed startupExperience owning a product or technical area with limited supervisionWhy joinBuild production AI products used by real customersWork on problems that span product, engineering, data, and AIHave significant ownership over what gets built and howWork directly with company leadership and customersJoin an early team where individual contributions have visible impactReceive a competitive salary and meaningful equity