Jobs

Back-end AI engineer to build end-to-end agentic AI workflows for Indy, collaborating with medicinal chemists to prototype and scale AI-driven drug-discovery workflows using Python in a startup environment.

Machine Learning Engineer to build NLP/ML systems for analyzing complex legal documents in the capital markets; responsibilities include scalable model development, NLP/LLM solutions, evaluation frameworks, and cross-functional collaboration with ML PhDs, legal SMEs, data, security, and product engineers.

Senior full-stack engineer on the Slideshare Team building features across the stack (Ruby on Rails backend; Next.js/React frontend) with opportunities to collaborate on ML/LLM initiatives. Requires 8+ years of professional software development experience.

Senior backend engineer to design, build, and scale Mintlify's core product infrastructure, APIs, and services, ensuring performance, reliability, and collaboration with product and customers.

AI Engineer to deploy and scale Braintrust's AI observability platform for strategic customers, working with customer engineering teams to instrument AI workflows, establish baselines, and drive reliable production deployments.

Backend-focused Software Engineer, Full Stack at Noetica building scalable backend services and APIs for document analysis; contribution to frontend as needed.

Senior engineer role at Front focusing on generative AI features using NodeJS/TypeScript; develops production AI applications with LLMs, RAG pipelines, and AI deployment; remote LATAM with hybrid collaboration.

Senior full-stack engineer on Scribd Core team building frontend and backend features (React/Next.js, Ruby on Rails, Python) to power the document reading experience; collaborates with product, design, AI/ML, and infrastructure to modernize the stack and improve in-document search.

Senior Software Engineer, Infra responsible for owning and scaling Jerry.ai’s infrastructure, driving automation, scalability, and reliability across cloud-based systems and CI/CD pipelines.

Senior Site Reliability Engineer responsible for owning Jerry.ai infrastructure, driving automation, scalability, and reliability across cloud-based systems and CI/CD pipelines.

Sr. Platform Engineer to build scalable, automated infrastructure and CI/CD pipelines at Jerry.ai, with AWS expertise and a focus on reliability and growth.

Senior Front-end Engineer at Ironclad focusing on the Search & Discovery feature, architecting scalable UI with TypeScript, React, and Node.js; improve performance and accessibility while collaborating across product teams.

Staff full-stack software engineer at Jerry.ai with backend-leaning focus. Remote-first role building automation, backend pipelines, and scalable services using TypeScript stack; collaboration across global teams. Requires ~5+ years of experience.

Senior software engineer on the Core Marketplace Automation Team building automation systems for insurance servicing; remote-friendly with global collaboration; 5+ years full-stack experience; stack includes TypeScript, Nest.js, Next.js, React; impactful scale.

Entry-level software engineer at Jerry.ai building an AI-powered AllCar app; remote-friendly with React, Node.js, Python, and AWS; salary $70k-$110k per year plus equity; opportunities for growth and mentorship.

Full-stack software engineer to build AI medical scribe features, cloud infrastructure, and EHR integrations for Commure's Scribe product; fast-moving team focused on growth, with on-site work in Mountain View, CA.

Staff AI Engineer focused on knowledge graphs, GraphRAG, retrieval pipelines, and memory/context management to power MagicSchool's AI agents for educators and students.

Senior Software Engineer (Full Stack) at MagicSchool responsible for end-to-end feature development, collaborating with design and product, and delivering high-quality code. Requires strong JavaScript/TypeScript, React/Next.js, Serverless & Edge functions, SQL and PostgreSQL; 5+ years of engineering experience (7+ preferred).

Senior Context Engineer for MagicSchool's AI systems, responsible for designing context management, memory, and dynamic retrieval to ensure accurate and coherent agent behavior in educational workflows. Requires 4+ years distributed systems experience and strong Python/TypeScript skills.

Role to build and scale internal tools and data infrastructure for Base’s operations; will write code, automate workflows, and create data pipelines and dashboards to improve speed, accuracy, and cost across the business.