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 ship end-to-end AI applications using Pinecone's retrieval and knowledge infrastructure.
Develop full-stack solutions spanning frontend interfaces, backend services, APIs, data pipelines, and LLM integration.
Experiment with emerging AI patterns like RAG, agents, tool use, and agent memory while working closely with customers and internal teams.
Pinecone is the trusted AI knowledge company, providing an AI knowledge platform including Database, Nexus, and Marketplace products to power accurate, fast, and cost-effective AI applications. The company serves more than 10,000 customers and 1M developers worldwide, with a mission to make AI knowledgeable.
Build and ship product features end to end across React, TypeScript, Django, Python, GraphQL, and surrounding systems.
Own meaningful product areas from idea through implementation, rollout, monitoring, and iteration, partnering closely with Product and Design.
Use AI coding agents deeply in daily workflow and help develop new tools, practices, and workflows to improve how the team builds software.
Fellow is an AI meeting assistant that helps teams turn conversations into decisions and action, built with privacy and security in mind. They are a remote-first company with optional office space in Ottawa and Montreal, and value speed, craftsmanship, and AI-native development.
Own product development end-to-end, from identifying opportunities to shipping features.
Build exceptional developer experiences by turning complex billing workflows into intuitive interfaces and APIs.
Ship with speed and quality while staying close to users and translating feedback.
Polar is building the finance layer for the next generation of AI products, rethinking billing for usage-based software and AI agents. It operates as a small, remote-first team with a strong bias towards shipping and quality.
Build core backend functionality in Ruby on Rails and relational databases.
Work daily in Claude Code and ship features using LLMs and agentic workflows.
Build React components in TypeScript and collaborate with experienced engineers.
Wealthbox builds an AI-powered CRM platform for financial advisors. Thousands of advisory firms use it daily, and the team is small enough that every engineer's decisions matter.
Work with customers to identify needs and translate large, ambiguous problems into scoped, testable features.
Participate in discovery, solution design, technical implementation, testing, and post-launch iteration across the full stack.
Build accessible, observable, and performant software with a focus on user experience and reliability.
Prysm Health is a healthcare technology company building products that improve patient care and clinical workflows. The team emphasizes cross-functional collaboration, user experience, and engineering excellence.
Build reliable APIs, backend services, and document-processing workflows for research, drafting, review, and finished work product.
Integrate AI capabilities into practical workflows, with a focus on output quality, speed, and dependable behavior.
Improve the usability of complex document tasks through clear interfaces and full-stack collaboration.
They build software for complex legal work, focusing on document workflows, AI integrations, and APIs. The company culture emphasizes ownership, collaboration, and practical engineering across a distributed team.
Build repeatable benchmarks and evaluation pipelines for model accuracy, hallucinations, retrieval quality, latency, and cost.
Turn research prototypes into production retrieval, drafting, document, and agent workflows.
Develop backend services, APIs, and internal tools to support testing and releases.
They are a healthtech company building dependable AI products for legal work. Their team is product-focused and works remotely across the United States.
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.
Set technical direction for a new Experience squad, owning architecture and standards across identity, API v3, and agent integration.
Work hands-on across backend (Python/Django) and frontend (React) to deliver a cohesive platform experience.
Build AI-native solutions with LLMs and agent frameworks, driving the shift from feature-driven to agent-led product architecture.
IFS is a billion-dollar enterprise software company with 7,000+ employees worldwide, leveraging AI technology to power award-winning solutions. Our culture is flexible, innovative, and inclusive, with a focus on agility, collaboration, and making a positive global impact.
Build reliable APIs, backend services, and document processing workflows.
Integrate AI capabilities into production workflows with focus on quality and speed.
Improve interfaces for complex document tasks and collaborate across the stack.
The company builds software for complex, document-intensive workflows, focusing on reliability and practical AI integration. The team includes engineers and domain experts working closely to deliver product features.
Build production-ready LLM applications across backend, data, and front-end.
Partner with customers in the field to deploy and iterate AI solutions.
Codify reusable patterns and influence the platform roadmap.
ServiceNow provides an AI control tower for business reinvention, bringing together AI, data, and workflows. The company powers 85% of the Fortune 500 and fosters an AI-native culture where technology and talent work together.
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.
Build AI agents and automated workflows for clinic operations, from insurance verification to clinical documentation.
Own features end to end across web, mobile, backend, data models, and infrastructure.
Work directly with clinicians and operators to turn ambiguous problems into shipped, production-ready systems.
3Y Health is building an AI-native operating system for healthcare practices, providing software and managed services for clinics. The company serves ABA therapy practices and is expanding, with a flat engineering team that works across the whole platform.
Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries and nearly $10 trillion in assets on the platform, Addepar fosters a culture of ownership, collaboration, and continuous learning.
Develop full-stack features across React, Node.js, Python, and databases, owning assigned features from planning through deployment.
Direct AI coding agents for implementation, review agent-generated code for correctness and security, and use AI for research and prototyping.
Collaborate with engineers, product owners, and end users to deliver solutions, proactively identify improvements, and maintain CI/CD pipelines on AWS.
Expression is a government contractor providing data fusion, analytics, AI/ML, software engineering, IT, and spectrum management solutions to the U.S. Department of Defense and national security community. Founded in 1997 and headquartered in Washington DC, the company was ranked #1 on the Washington Technology 2018 Fast 50 and fosters a culture of agile delivery, continuous growth, and collaboration.
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.
Build LLM-based agents on the platform's scaffolding, integrating tool calls, internal APIs, and guardrails.
Take agents to production on AWS with containers, CI/CD, secrets, permissions, and security controls.
Define and run evals, monitor with Langfuse, and document runbooks for independent operation.
Muttdata builds innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. It is a fast-growing, remote-first startup that values collaboration, continuous learning, and a positive, ownership-driven 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.
Design, build and ship AI-native applications and experiences for real-world use cases.
Build applications using large language models, generative AI APIs and agentic architectures.
Develop high-quality software using Python, TypeScript/JavaScript or comparable modern languages.
Valtech transforms how people experience the world through technology, combining technology, creativity, and experience to solve meaningful business challenges. The company fosters a culture of continuous learning, meaningful impact, and professional growth, with a borderless global framework enabling seamless collaboration.