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.
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.
Own complex software initiatives end to end, from design and implementation through testing and production readiness.
Build scalable backend systems and AI-powered applications using TypeScript, LLMs, and agentic frameworks.
Mentor peers and contribute to engineering excellence through testing, code quality, and continuous improvement.
This partner company builds scalable production systems and AI-powered applications using modern technologies. It fosters a remote-first, collaborative engineering culture with a focus on software craftsmanship and continuous learning.
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.
Prototype and test ideas for applying AI to data and marketing workflows.
Develop and ship production-ready AI applications in close collaboration with product and engineering teammates.
Make architectural and framework decisions for LLM-based systems and build data agents that answer analytics questions.
This is a Series D marketing technology company focused on building AI experiences that help teams use data to improve marketing workflows. They are a small, fast-paced product and engineering team within a venture-backed startup environment.
Lead and mentor diverse software engineering teams across the Americas and EMEA, fostering innovation, collaboration, and continuous improvement.
Drive software delivery transformation through agentic development, AI-assisted engineering tools, and modern delivery models.
Oversee architecture and hands-on technical leadership for platform and AI services across Python, TypeScript, AWS, and LLM frameworks.
This partner company builds financial technology products, platform services, and AI-driven solutions for global businesses. It operates as a remote-first organization with a high-trust culture and a focus on engineering innovation and collaboration across EMEA and APAC.
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.
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.
Build and maintain AI agents using large language models to complete multi-step tasks within Cayuse products.
Develop and extend MCP servers and integrate AI features into existing applications through platform APIs.
Write unit and integration tests, participate in code reviews, and ship code through CI/CD pipelines.
Cayuse provides integrated technology solutions that empower organizations to conduct globally connected research, advancing impact in science and discovery. The company is a team of highly skilled, multidisciplinary professionals building a remote-first culture with a focus on customer and employee values.
Lead the engineering foundation behind reliable, measurable, and scalable AI-powered features.
Build evaluation frameworks, observability tooling, and diagnostic infrastructure for AI agents in production.
Combine hands-on software engineering with technical leadership and people management.
The company builds AI-powered products with a focus on reliability, scalability, and evaluation infrastructure. It operates as a fully remote, globally distributed team with an ownership-oriented culture.
Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
Stand up and maintain MCP servers and tool integrations that connect AI models to internal systems.
Own services end-to-end, evaluate emerging AI tooling, and raise the team's AI engineering capability.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. We are committed to quality, excellence, and innovation throughout the entire publishing process, with a vibrant and diverse international community of nearly 300 publishing brands and imprints.
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 and implement AI-powered solutions for healthcare operations, including benefits verification, prior authorizations, and claims processing.
Build and maintain web and mobile applications, backend services, and infrastructure across the full technology stack.
Own product features end to end, collaborating with clinicians and stakeholders from concept to production.
This partner company develops AI-powered software to transform healthcare practice management and clinical operations. They operate a flat, cross-functional engineering team that embraces AI-assisted development and individual ownership.
Design, develop, and implement AI-powered features to improve patient engagement, care coordination, claims management, and operational efficiency.
Use Claude Code and related AI tools to build, test, troubleshoot, and maintain full-stack software products in a remote Agile environment.
Collaborate with product managers, designers, engineers, and clinical stakeholders to translate requirements into scalable, user-focused solutions.
VetsEZ, through its EZLabs division, specializes in AI-driven healthcare products for federal government modernization, focusing on patient engagement, care coordination, and claims management. The company fosters a fast-paced, remote Agile culture and is an equal opportunity employer.
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.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
Own Elicit's scholarly search and data platform, covering coverage, freshness, quality, and cost.
Build secure, rights-aware integrations for enterprise customers and content partners.
Ship features end-to-end across frontend, backend, and data with staged rollouts.
Elicit is an AI research agent that helps scientists and decision-makers find, synthesize, and understand research. We are a public benefit corporation with a small, AI-native engineering team focused on high-stakes evidence.
Build and operate production-grade agentic AI workflows for customer experience operations.
Develop MCP servers, secure integrations, and shared platform capabilities on AWS.
Establish evaluation, observability, and governance practices for reliable AI systems.
A technology company focused on integrating AI-powered workflows into customer experience operations. They foster a collaborative, inclusive remote culture emphasizing production-grade engineering, rapid prototyping, and mentorship.
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.