Build the core product platform for Archie and ship it to customers.
Take end-to-end ownership of product features across architecture, backend, frontend, and reliability.
Develop infrastructure to orchestrate AI agents and automate engineering tasks.
P-1 AI builds Archie, an AI engineer agent designed to integrate into engineering teams as a human-like teammate. The company is backed by top venture investors and AI luminaries, focused on pioneering AI development.
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.
Apply first-principles thinking to break down hard problems and ship durable solutions.
Build end-to-end product experiences across the stack including backend services, data pipelines, and frontend interfaces.
Build, scale, and maintain infrastructure such as containerized microservices, orchestration pipelines, and cloud-native architecture.
Reveleer is a value-based care technology platform that unifies retrieval, clinical intelligence, risk adjustment, quality improvement, and member management into one AI-powered system. The company is a small but impactful team within the AI division, focused on developing next-generation agentic models for clinical prospective suspecting.
Own product features end to end, from defining scope through deployment and iteration.
Work across the full stack—UIs, APIs, data models, and AI-powered workflows—to build intuitive insurance products.
Use modern AI coding tools extensively to accelerate development and contribute to model evaluation.
They build foundational technology for the commercial insurance market, creating products used by brokers, lenders, underwriters, and other insurance professionals. With a small, senior team, they foster a highly empowered environment where engineers take ownership of outcomes and use AI deeply in their workflows.
Design, develop, and maintain software solutions across frontend and backend using React, Node.js, C#/.Net, or similar.
Use agentic AI coding tools to accelerate feature delivery while critically validating AI-generated code.
Collaborate with engineers and PMs in agile stand-ups, contribute to CI/CD, and share on-call duties.
PPLSI is the world's largest platform for legal, identity, and reputation management services, providing affordable access to legal and identity protection. It covers more than 4.4 million people through LegalShield and IDShield.
Develop full-stack applications and AI-powered agents for internal people operations.
Own the full product lifecycle from discovery and design through deployment and iteration.
Collaborate with product, design, research, recruiting, and HR teams to deliver high-impact solutions.
This company builds next-generation internal products and AI-powered solutions for people operations. It fosters an entrepreneurial, collaborative engineering culture focused on autonomy, rapid iteration, and measurable impact.
Design and build AI-powered agents and intelligence layers for internal business units.
Own solutions end-to-end from scoping and prototyping through deployment and adoption.
Partner with stakeholders and engineering teams to translate ambiguous problems into production software.
Juniper Square is a private markets operations platform that unifies technology, data, and fund administration services for 2,300+ GPs. With 1,000+ employees and $300B+ under administration, the company is founder-led, well-funded, and built for ambitious problem-solvers.
Set the technical direction for the Marketplace migration to a monorepo.
Direct AI coding agents to ship production changes while owning design and quality.
Mentor senior engineers and partner with managers to multiply impact.
Docplanner makes healthcare more human with platforms for patient reviews, doctor search, and online booking. With over 2,500 employees and 90 million monthly patients, it keeps a startup mindset and embraces diversity.
Build AI-powered internal tools and systems from concept to production.
Identify opportunities where AI can improve internal workflows and operations.
Design and implement intelligent workflows, automations, and integrations.
We are building AI-powered internal systems to transform how the company operates. This is a fast-paced startup environment where engineers take ownership and solve ambiguous problems.
Build AI applications, agents, skills, connectors, and workflow automations that solve business problems.
Translate ambiguous business needs into AI-native workflows and own engineering from discovery to production launch.
Work closely with internal teams to embed AI solutions and drive measurable gains in quality, speed, and cost.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and about 130 million daily active visitors, it is one of the internet's largest sources of information.
Build end-to-end full-stack features across frontend, backend, APIs, and data layers.
Work AI-native, using AI agents for research, prototyping, testing, and refactoring.
Shape architecture and modernize systems across a multi-brand hospitality portfolio.
Convene Hospitality Group operates a global portfolio of lifestyle brands creating places and experiences that bring people together. The company is building an AI-first engineering team and values a culture of connection, innovation, and GRIT (Genuine, Relentless, Integrity, Teamwork).
Develop the architecture and infrastructure needed to scale the product to a large user base.
Build and operate the agent runtime, including orchestration, memory, verification, and supporting systems.
Take projects end to end across backend, infrastructure, frontend, and AI agents.
They are an early-stage AI infrastructure startup building scalable infrastructure for AI-powered service businesses. As the first engineer, you'll work directly with the founder in a fast-moving, ownership-driven culture.
Build and maintain features across CLI, backend, and frontend with AI coding agents as a core part of your workflow.
Take ownership of projects from idea through deployment and beyond, making architecture and design decisions.
Collaborate closely with teammates, operationalize quality, and contribute to a culture of support and excitement.
Minimal builds a secure, reproducible foundation for software with private artifact registries and policy enforcement. They are a small, remote team that values predictable and effortless software development.
Lead the evolution of a mobile engineering team toward an AI-native product platform.
Drive thin-client architecture and partner with backend teams on Python AI services.
Mentor engineers and improve DevOps, delivery, and quality processes across the organization.
The company is building an AI-first participant platform, delivering mobile and web experiences across iOS and Android. It is a remote-first organization with a collaborative, transparent culture that emphasizes communication, learning, and shared understanding of company priorities.
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.
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.
Own end-to-end development of product features spanning frontend and backend.
Integrate mainstream AI coding tools like Cursor and Copilot to maximize efficiency.
Champion full stack practices and mentor peers to scale AI-augmented development.
Binance is a leading global blockchain ecosystem and the world's largest cryptocurrency exchange by trading volume. With 300+ million users in over 100 countries, it offers a remote-first, results-driven culture focused on innovation and financial freedom.
Ship backend features end to end, from a rough customer ask to running in production, often in days rather than weeks.
Build testing systems and harnesses that let agents ship changes safely, and work directly with customers when issues arise.
Utilize agents heavily in daily work, but have deep understanding of system architecture and participate in oncall.
Lumos is the industry's first Autonomous Identity Platform, providing software that surfaces and acts on access risk, with an AI agent named Albus for identity management. The company has grown from 20 to ~130 employees, raised over $65M from top investors, and is recognized as a top startup employer.
Build and evolve Superhuman Mail's MCP layer with new tools, standards, and agent capabilities.
Design and ship agentic workflows and personalization features at scale.
Build evaluation systems to measure LLM quality and choose the best models for each task.
Superhuman is an AI productivity platform that brings AI into the tools people already use, including writing, collaboration, and email. Founded in 2009, it serves over 40 million people and 50,000 organizations with a focus on eliminating busywork and fostering a tight-knit, high-performance culture.
Lead and execute core 0-to-1 initiatives in AI, translating strategic vision into execution roadmaps.
Drive rapid implementation from prototype to production, architecting scalable solutions.
Collaborate with an elite team and report directly to department founder.
EWOR launches cutting-edge new initiatives in AI and technology, backed by successful serial entrepreneurs. It offers a high-agency, fast-paced environment where builders have maximum ownership and collaborate with a world-class team.