Contribute to the design and development of artificial intelligence solutions, implementing core business logic in Node.js and ensuring scalable, high-performance architectures.
Develop and maintain AI agents, applying prompt engineering techniques when needed to optimize model behavior and outputs.
Evaluate and ensure the quality, consistency, and usability of annotated datasets used in AI/ML workflows.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design and build AI-powered GTM agents that automate deal intelligence.
Translate go-to-market processes into scalable technical systems, bridging business needs with engineering execution.
Architect and maintain GTM data infrastructure, including pipelines and structured data flows.
Juniper Square is a company that offers solutions at the intersection of revenue operations, AI engineering, and go-to-market systems. They provide a fast-evolving, high-ownership environment where employees help define how AI-native GTM systems are built and scaled.
Be part of the alignment research team, working on projects selected for their high upside potential and under-resourced status.
Do real alignment research with real autonomy, in directions most organizations aren’t set up to pursue.
Break complex problems into concrete experiments and execute on them, independently or with a team.
AE Studio is a 160-person, fully bootstrapped ML consultancy that has spent over a decade building and shipping AI systems for clients. Without outside investors, we put money into alignment research through the AI Alignment Foundation, a nonprofit we founded to scale this work.
Design, build, and maintain production-grade AI systems and customer-facing AI features.
Develop agentic workflows using LLMs, retrieval systems, tools, APIs, and backend services.
Design and implement retrieval-augmented generation (RAG) systems, including ingestion pipelines, embeddings, semantic retrieval, and context assembly.
Givzey is a fast-growing and innovative technology company serving the nonprofit sector, on a mission to unlock more generosity through AI-powered donor engagement. In just three years, Givzey’s platform has already helped organizations raise $10M+ through autonomous engagement.
Build prototypes and POCs that showcase Tailscale for AI agents and tooling.
Work with reference customers to integrate Tailscale, both for internal adoption and for embedding into their products to enable secure customer connectivity.
Create reference architectures and share your work through documentation, open source, community engagement, and conference presentations.
Tailscale is building a new Internet by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. They are a fully distributed company, and teams of every size use Tailscale each day to protect their networks and share access to internal tools.
Design, build, and ship agentic workflows across multiple domains.
Build multi-step agents capable of autonomous planning, context tracking, memory, tool use, and API orchestration.
Drive technical and architectural decisions to meet product requirements while also anticipating and designing for future needs
Cority helps customers see and prevent risks across their operations in real time. Our EHS+ platform converges people, data, and AI agents to provide a clear view of information people can trust. For 40 years, Cority has been the market leader in EHS+, recognized by top analysts and trusted by more than 1,500 of the most complex organizations worldwide.
Identify and prioritize high-impact AI use cases across Customer Office teams, aligning initiatives with business priorities.
Design and implement AI-driven workflows and agentic solutions across the tech stack, embedding AI into core processes.
Build and scale automation and intelligence layers on top of Salesforce and GTM stack, leveraging LLMs and modern AI tools.
Saviynt's AI-powered identity platform manages and governs human and non-human access to applications, data, and business processes, helping customers safeguard digital assets and drive efficiency. They are recognized as a leader in identity security, empowering Fortune 500 companies and government institutions with tremendous growth and learning opportunities.
Design, build, and maintain MCP servers and MCP-based integrations.
Build and maintain backend services using TypeScript and Node.js.
Build AI-powered workflows and internal automation tools.
Ruby Labs is a leading tech company that creates and operates innovative consumer products across health, education, and entertainment. We are an innovative team driving the future of consumer-led products, and we're always looking for passionate individuals to join us.
Design and build Claude skills, MCP integrations, and automated pipelines that transform internal knowledge into publication-ready docs with minimal manual intervention.
Act as the final reviewer for content produced by AI-assisted workflows and engineers, maintaining a high bar for technical accuracy and polish.
Define content structures and metadata standards that ensure our documentation is agent-consumable and machine-parseable.
Upsun, formerly Platform.sh, is the cloud application platform humans and robots love. They give developers, DevOps engineers, and platform teams the ability to build, ship, and scale confidently without wrestling with backend infrastructure.
Ship zero-to-one AI products end-to-end — from customer discovery and prototyping through production deployment and iteration
Build agentic AI systems — design and implement autonomous and semi-autonomous workflows using LLMs, tool-use, memory, and orchestration
Develop AI tools that improve efficiency across clinical operations, data extraction, manual workflows, and more
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. The Natera team consists of statisticians, geneticists, doctors, scientists, business professionals, software engineers and other professionals from world-class institutions.