Improve the product interface and accelerate releases alongside a frontend engineer.
Build full-stack features, focusing increasingly on backend systems and infrastructure.
Own work end to end, from architecture through deployment and reliability.
They build AI software for the design of physical systems. The culture is fast-moving and startup-oriented, with a collaborative team working alongside field engineers and researchers.
Improve the product interface and accelerate releases to production.
Take on backend-leaning full stack work over time, including infrastructure and systems.
Own features end to end from architecture through deployment and reliability.
They are an AI engineering design software startup building tools for physical systems, engineering design, and simulation. They are a fast-moving startup with a culture that values ownership, AI-assisted development, and shipping collaboratively.
Build product-facing tools for browsing environments, inspecting trajectories, and understanding model behavior.
Develop vendor-facing workflows to create, submit, test, and iterate on RL environments and training data.
Create dashboards and observability tools surfacing environment quality, eval results, and pipeline health.
This company builds a reinforcement learning data engine for frontier AI labs, creating and iterating on training data. They have offices in San Francisco and Singapore, offering a culture that values independence and high agency.
Lead architecture and implementation of greenfield features for Healthie's New Products, ensuring scalable and reliable systems.
Collaborate across Product, Design, Data, and Engineering teams to execute high-impact projects integrating advanced AI capabilities.
Shape technical direction, mentor engineers, and drive AI-assisted engineering practices to improve velocity and quality.
Healthie is an AI-Native, ONC Certified EHR platform for modern outpatient healthcare, powering 40,000+ providers with tools like EHR, scheduling, billing, and API-first infrastructure. The company handles 3 billion API calls monthly, has raised $42M, operates profitably, and fosters a fast, customer-obsessed, mission-driven culture.
Own big parts of the marketplace, including storefront, course platform, and recommendation systems.
Experiment with the latest agentic coding tools.
Work remotely in a close-knit team with a high degree of ownership.
Maven is a marketplace for practical courses taught by top experts, with a cohort-based model that achieves 80%+ engagement. They have 500+ live courses, $100M+ earned by experts, and a small, high-trust team of 20.
Take deep ownership of systems and product areas, becoming the go-to technical expert for what you own.
Architect, build, and maintain highly available, scalable REST APIs and backend services across distributed systems.
Build agentically with AI coding tools, staying at the forefront of emerging AI tooling and practices.
Postscript is an AI messaging platform for Shopify brands, helping e-commerce marketers drive revenue through SMS marketing and AI features. Backed by Greylock and Y Combinator, the company has been fully remote since 2018 and serves 20,000+ Shopify brands with a culture of ownership and AI-first development.
Lead end-to-end development of product features from design through deployment and ongoing support.
Architect and build scalable backend services and APIs using TypeScript/Node.js.
Collaborate cross-functionally with Product, Design, CX, and Integrations to deliver customer-facing functionality.
Meadow is a modern payments platform for higher education that simplifies the entire student financial experience. They are a highly ambitious, talented team transforming the $600 billion higher education payments industry.
Design and develop full-stack features using React, TypeScript, and backend languages like Java or Node.js.
Drive architectural decisions, backlog grooming, and technical leadership while leveraging AI coding assistants.
Write automated tests, conduct code reviews, and deploy features in production using GitLab, AWS, and Kubernetes.
CoderPad is the global leader in the technical interview space, serving over 4,000 customers in 165+ countries. The company has a remote-first, distributed culture with teams in EMEA and US, focusing on building and scaling products for technical interviews.
Design and deliver features across the full stack with direct impact on the product and finance-focused users.
Work closely with technical leadership to help establish engineering practices and contribute to system design.
Own complex technical problems end-to-end in a remote-first, collaborative environment.
The company builds AI-native financial planning and analysis software. It is an early-stage startup with a small team that values autonomy and thoughtful engineering.
Prototype and evaluate AI applications for data and marketing workflows.
Develop production data agents and backend services with Node.js and TypeScript.
Design AI-assisted experiences and choose AI architectures for real user workflows.
The company builds AI capabilities for B2B marketing and data workflows, helping users turn customer data into useful insights and actions. It operates like a small, high-velocity startup team focused on shipping production-ready AI products.
Build and ship working software for brokerage clients, from discovery to production, using AI-assisted development.
Work directly with brokerage executives to identify needs, create specs, and deliver solutions in days, not weeks.
Own the full lifecycle of features, including debugging, support, and productizing successful solutions for broader use.
Rechat is the operating system for real estate, combining marketing, CRM, transactions, listings, and AI into one product. The company is growing quickly, with tens of thousands of users and a collaborative, inclusive culture.
Refine and improve existing product functionality with focus on usability, consistency, responsiveness, performance, and visual quality.
Build and maintain scalable full-stack solutions and implement thoughtful frontend interactions across the product.
Collaborate with full-stack, data, ML, and DevOps engineers to evolve capabilities and own projects from concept to completion.
Jobgether is an AI-powered job matching platform connecting candidates with opportunities. The hiring partner is a growth-stage company with an ambitious, international, and multidisciplinary team working on technology for a major global industry.
Design and implement scalable, secure, and performant software systems and APIs for Engine's travel platform.
Collaborate with cross-functional teams including Product and Data Science to deliver seamless experiences.
Mentor mid-to-senior engineers and lead initiatives that improve system quality, efficiency, and customer satisfaction.
Engine is an AI-native platform for intelligent business travel, serving over 38,000 customers and nearly 2 million travelers. The company has been recognized as a Fast Company Best Workplace for Innovators and fosters a culture of exponential growth, full ownership, and high-caliber colleagues.
Implement features that improve MDLinx and drive user impact, with ownership growing over time.
Apply software engineering best practices including automated testing, clean code, and peer review.
Read AI-generated plans and code critically, and identify work for AI-assisted automation.
M3 is a Japanese global leader in healthcare technology and research solutions, operating physician websites with over 5.8 million members. MDLinx, an M3 company, focuses on transforming pharmaceutical brand promotion through omnichannel engagement.
Design, develop, and maintain AI-powered software solutions across the full development lifecycle.
Work with backend stacks like Python, Node.js, .NET, and Java, plus modern frontend frameworks such as React or Angular.
Build and integrate AI agents, RAG pipelines, and LLM-driven products into production environments.
Cresteo is a nearshore tech services company on a mission to be the world leader in people-first and honest software development. Our small, high-trust team values transparency, profit-sharing, and fearless innovation while working with US-based clients and international teams.
Build and ship end-to-end product capabilities across frontend and backend systems.
Develop user experiences using TypeScript and React, along with services and APIs using Go, Python, or comparable tools.
Collaborate with Product, Design, Data, and engineering partners to balance usability, performance, reliability, and time to value.
LaunchDarkly provides a feature management platform that helps engineering teams ship software and AI with speed, safety, and control. They are a growing company that values humble, open, collaborative, and kind teams.
Lead technical strategy for provider growth and supply management, designing robust systems.
Mentor junior engineers and foster a high-performing engineering culture.
Build AI-powered workflows and collaborate across multiple teams to drive impactful solutions.
Rula is a mental health care company that connects patients with providers, aiming to destigmatize mental health. They are a remote-first company hiring in most US states, with a focus on culture and inclusion.
Develop and maintain full-stack applications using Java, Spring Boot, Angular, and TypeScript.
Own product development end-to-end, from architecture to deployment, within an autonomous engineering team.
Use and critically review AI-generated code while applying modern application security practices.
The company focuses on transforming complex global work compliance into automated technology in an AI-first, security-driven environment. With a remote-first culture, it emphasizes autonomy, continuous learning, and high-impact product ownership, though specific employee numbers are not disclosed.
Design, build, and ship full-stack applications for admissions, events, and internal operations.
Develop semantic search and AI features using embeddings, natural language queries, and large datasets.
Work directly with operational teams to understand needs and make practical product and engineering tradeoffs.
A venture capital and startup accelerator organization that builds software for founders and internal teams. It operates as a small product engineering team with a collaborative, low-ego culture.
Develop new features across the Ruby on Rails stack, collaborating with operations and sales.
Direct AI coding agents to frame problems, review code, and ensure high-quality output.
Improve system quality via TDD, refactoring, and writing precise design documentation.
Magellan AI provides visibility into the podcast advertising market with audio analysis and NLP, helping buyers optimize campaigns and sellers prove performance. It is an early-stage startup founded in 2016 with a team of seven engineers, offering a remote-first culture and competitive benefits.