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.
Build reliable APIs, backend services, and document processing workflows for legal work.
Take product features from design through release, collaborating with engineering and legal teams.
Integrate AI capabilities into practical workflows with attention to quality, speed, and reliability.
The company builds software for complex legal document workflows, focusing on reliability and practical tools. The team partners with engineers and legal domain experts, emphasizing collaboration, code quality, and dependable behavior.
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 foundational platform services for AI products, including user management, authentication, permissions, and resource access.
Own full-stack features end to end, from backend APIs to customer-facing dashboards and internal tools.
Work remotely with technical autonomy, collaborating across engineering and product teams on scalable systems.
They build foundational systems that power a suite of innovative AI products used by millions worldwide. They are a high-growth, AI-first engineering organization with an autonomous, low-bureaucracy culture.
Take deep ownership of key systems and product areas, becoming the technical expert and primary point of reference.
Architect, build, and maintain highly available and scalable REST APIs and backend services.
Use agentic development workflows and AI coding tools as standard engineering practice.
This partner company builds an AI-driven e-commerce messaging platform powered by customer context and data. It is a high-growth, remote-first environment with a collaborative and supportive culture.
Prototype AI applications quickly to explore new opportunities in data and marketing workflows.
Work with a small team to develop and ship product ideas, laying the groundwork for new capabilities.
Build production data agents that use company data to answer analytics and data science questions.
The company is a Series D marketing technology firm building AI-powered tools for data and marketing workflows. It operates with a high-velocity product culture, typical of growth-stage startups, and values quick prototyping and production-grade engineering.
Build infrastructure for frontier AI agent research: environment execution, trajectory collection, and evaluation at scale.
Develop reusable tools, APIs, and pipelines for launching experiments, managing data, and inspecting results.
Turn research prototypes into tested systems, making experimentation faster, more reproducible, and cost-efficient.
HUD builds reliable, fair, and open infrastructure for AI data, making data valuable for creators and trustworthy for labs. The team is a quickly growing group of ~25 researchers, engineers, and operators backed by $16M from top VCs and YC.
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.
Partner with a frontend engineer to improve the product UI and speed up production releases.
Gradually take on backend-leaning full stack work, including features, infrastructure, and systems.
Own features end to end, including architecture, deployment, and reliability.
They are an early-stage AI engineering software company building tools for designing physical systems. The small team emphasizes an agent-driven approach to software development with a collaborative culture.
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.
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.
Own backend systems with a focus on scalability, reliability, and maintainability.
Improve data warehouse performance through query optimization and precomputed state.
Build analytics and experimentation features for audience creation and performance measurement.
A marketing technology platform helping customers activate warehouse data, build audiences, and measure performance. The company focuses on scalable, reliable systems and a collaborative engineering culture.
Build and maintain TypeScript and Python backend services and REST APIs.
Design batch data pipelines and build LLM features end to end, including prompts, retrieval, structured outputs, and evaluation.
Containerize, deploy, and monitor services in the cloud while collaborating with cross-functional partners to ship in small increments.
CrowdHealth is a community-powered alternative to health insurance, enabling individuals to access and fund healthcare with transparency, simplicity, and control. It is a small, mission-driven team focused on rewriting the rules of healthcare and helping members live boldly without the fear of medical bills.
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.
You will build and evolve AI-powered full-stack products improving physician and patient healthcare experiences.
You will own technical initiatives end-to-end, from architecture through deployment and production support.
You will collaborate with Product, UX, and QA to integrate AI and LLMs into reliable software.
Our partner builds AI-powered product experiences that help physicians deliver care and patients access healthcare. Their distributed, fully remote culture is collaborative and inclusive, emphasizing technical ownership, mentorship, and continuous improvement.
Design and develop reusable AI Fabric platform services and APIs using Go, Python, Java, and cloud-native technologies.
Build scalable cloud-native and event-driven solutions with Kafka and AWS/Azure/GCP services.
Develop modern frontend experiences with React, Angular, or Vue for self-service onboarding and operational management.
Miratech is a global IT services and consulting company helping visionaries change the world. They have over 1000 full-time professionals and a culture of Relentless Performance with 99% project success rate.
Design, develop, and evolve high-performance, real-time pricing systems for critical lending decisions.
Lead complex engineering projects from technical design through production deployment, ensuring scalability and reliability.
Collaborate with data scientists, product managers, and business stakeholders to turn models into robust software solutions.
This company builds core pricing infrastructure that powers critical lending decisions across financial products. It offers a remote-first environment with a collaborative culture across engineering, data science, and product teams.