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.
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.
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 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.
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 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.
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.
Build AI applications across client engagements, products, and reusable tools.
Partner with clients and consultants to translate business problems into software.
Use agentic coding tools like Claude Code and Codex to build and maintain solutions.
P3 Adaptive is an AI and data consultancy built on Microsoft technologies, helping organizations modernize their relationship with data. The company has small, senior, hands-on teams and a culture that values reliability, adaptability, and direct communication.
Identify high-impact opportunities to improve software development with AI, partnering with engineering teams.
Design, build, deploy, and operate production-grade AI tooling and agentic workflows.
Build shared AI infrastructure and evaluation frameworks to measure impact on productivity.
GameChanger builds a platform to experience youth sports moments, helping families elevate the next generation. They are a remote-first tech company with a dynamic culture focused on community and innovation.
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.
Lead the engineering strategy and execution for evaluations of AI agents, owning the core evaluation platform.
Design scalable evaluation infrastructure, APIs, workflows, and production systems across software categories.
Mentor and develop a team of engineers as the technical authority on agentic evaluation.
This company focuses on building credible, scalable evaluations of AI agents from software vendors. It operates as a fully remote, inclusive team with a flexible culture and a focus on professional growth.
Develop and improve AI methods, algorithms, and systems across the lifecycle of reliable AI agents.
Create new approaches for simulating, evaluating, and optimizing agent behavior in real-world settings.
Turn research ideas into working systems, prototypes, and production-facing capabilities.
The company builds infrastructure that helps enterprises make AI agents more reliable in production. It is a technical and research-focused team working on AI methods and practical systems.
Build tools for understanding traces, evaluating agent behavior, and turning results into improvements.
Run experiments on Mastra's primitives to find where they fall short and improve configuration and behavior.
Help turn findings into capabilities developers can use in their own applications.
Mastra is the open-source TypeScript framework for building AI agents. We're a small, fully remote team backed by Y Combinator and Spark Capital with $35M raised.
Own product features end-to-end, from problem statement to production.
Write specs with AI agents and critically review their code in complex systems.
Deliver reliable features handling financial transactions and evolve AI-first development.
Social Discovery Group creates social entertainment platforms that connect people online across cultures, addressing loneliness and disconnection. The company's international remote team works from everywhere, and it earned 'Great Place to Work' recognition in 2024-2025.
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.
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.
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.
Partner directly with clients to turn ambiguous business challenges into clear technical plans and prototypes.
Build and deploy AI-enabled applications, agentic workflows, APIs, data pipelines, and full-stack products.
Engineer reliable agent harnesses, evaluation frameworks, and safeguards to ensure production-ready AI systems.
TribalScale is a digital innovation firm that partners with clients to build transformative digital products, modernize technology platforms, and apply AI to meaningful business challenges. The team values curiosity, ownership, practical innovation, and lives by principles of meritocracy, empowerment, and transparency.