Build and deliver AI-powered features that help users discover, organize, and optimize access to large datasets.
Rapidly prototype, test, and iterate on LLM- and agent-driven workflows with real users to validate ideas early.
Collaborate cross-functionally to integrate AI components with internal tools and ensure scalable, maintainable solutions.
Grafana Labs builds the open observability cloud, providing a fully managed platform that helps organizations see, understand, and act on their data. With over 1,600 team members across 40+ countries, the company fosters a global, remote-first culture rooted in open source and collaboration.
Design and build the agent execution harness, owning the orchestration layer that routes inputs, manages context, and handles multi-step agentic workflows at scale.
Ensure reliability, observability, and fault tolerance in production AI systems while optimizing for latency and cost.
Lead eval engineering and prompt infrastructure to maintain agent quality and drive data-informed decisions across model updates.
ServiceNow is an AI platform company that automates workflows and helps businesses reinvent themselves through its AI control tower. It serves 85% of the Fortune 500 and fosters an AI-native culture focused on innovation and talent.
Design, build, and ship production-grade AI agent features (PM Agent, Execution Agent, External Onboarding Agent) that automate real implementation work.
Lead design partner engagements to develop custom agent workflows, iterating based on customer feedback to productize reusable components.
Contribute to the MCP server and platform layer, ensuring reliable retrieval, evals, and tool integrations across the full AI stack.
TaskRay is the leader in post-sale work management in the Salesforce ecosystem, helping companies ensure flawless customer experiences post-sale. The company has a culture centered on Connection, Integrity, Hunger, and Thrive, with a small team that values high performance and innovation.
Architect production-grade multi-agent frameworks and orchestration layers from scratch.
Balance rapid prototyping with long-term sustainable architectural foundations.
Implement rigorous frameworks for benchmarking, prompt engineering, and evaluating agent reliability.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and other privacy-minded products. With over 225 million monthly users, we are a mission-driven organization owned by the Mozilla Foundation, employing thousands of volunteers and collaborators worldwide to build open-source software for a better internet.
Work directly with customers to understand how consequential work gets done and turn rough problems into working AI-native products.
Build across frontend, backend, infrastructure, tools, memory, retrieval, evals, and observability, designing token-efficient agent loops.
Harden the last mile: handle permissions, missing information, forms, handoffs, retries, approvals, exceptions, and recovery to make agents dependable in real firms.
Rowan builds AI-powered systems that automate complex workflows for financial services firms, focusing on dependable execution rather than just generating answers. As a small, fast-moving team, they emphasize craftsmanship, customer proximity, and iterative building.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Own architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Manage evals and observability for production AI, ensuring system accuracy and detecting regressions.
Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. It is a remote-first team that takes craft seriously and moves with intention, building a cutting-edge AI company in mortgage technology.
Own design and implementation of agent harness layer for autonomous app generation.
Develop long-horizon agentic workflows with maximal autonomy and robust evaluation loops.
Research novel AI approaches and ship them to production with strong observability and debugging.
Sekai is building an AI-driven consumer platform for creating, remixing, and sharing interactive mini apps. The company is Series A, backed by Khosla, a16z, Mayfield, and A*, with $30M raised and a remote-first culture.
Build internal agentic workflows end-to-end on OpenRouter, from prototype to production, automating support and GTM operations.
Integrate our systems with the tools the company runs on, and steadily replace those tools where it makes sense.
Own the reliability of what you ship: evals, guardrails, and monitoring, so automation is trustworthy rather than flashy.
OpenRouter is an AI routing and infrastructure layer that provides a unified API for AI builders and enterprises to access and manage AI usage. They are a small team where every person has direct impact on product and users.
Build agents with real authority over real workflows, not just Q&A toys.
Design typed, intent-routed tools over MCP for scale and performance.
Develop the evaluation harness to measure and improve agent quality.
Rootstock Software is building an AI-first ERP for manufacturing, replacing traditional UI with agent-driven interactions. They have a deep bench of senior engineers, real products and customers, and a culture of experimentation and mutual growth.
Collaborate with product and engineering teams to translate product objectives into autonomous agent-based solutions.
Design and build new agent data types, pipelines, and frameworks to coordinate reasoning, function calling, and actions.
Develop and optimize autonomous agents leveraging LLMs, planning algorithms, and multi-step reasoning approaches.
PointClickCare is a leading health tech company that helps providers deliver exceptional care. As a founder-led, privately held company with over 30,000 provider organizations and 400+ integrated partners, they are recognized by Forbes as a top private cloud company and honored as one of Canada's Most Admired Corporate Cultures, offering flexibility and growth opportunities.
Lead technical execution across endpoint agent, backend services, inference pipelines, infrastructure, and frontend.
Translate priorities into clear plans, milestones, and owners; manage and mentor engineers.
Run effective cadence for planning, prioritization, and retrospectives; own hiring and onboarding.
Origin builds the endpoint AI observability platform for AI-adopting organizations, ensuring productivity and safety of AI on endpoints. The company is backed by top VC firms like Sequoia Capital and operates as a fully remote team across the US & Canada, built on trust, autonomy, and excellence.
Design and ship core backend services for context ingestion, indexing, and retrieval orchestration.
Build APIs and service interfaces that allow AI agents and tools to retrieve relevant enterprise context.
Operate your services using observability tools, ensuring reliability and scalability from prototype to production.
Grafana Labs is the company behind the open observability cloud, providing a fully managed observability platform. With over 35 million users and 7,000+ customers, they are a 100% remote company with 1,600+ team members across 40+ countries, fostering an open-source culture.
Design and build agentic AI systems to automate complex workflows across ICON's software platform.
Develop LLM-powered features using state-of-the-art foundation models and APIs.
Architect multi-agent pipelines, tool-use systems, and MCP integrations.
ICON is a construction technology company that develops advanced 3D printing and robotic systems for building homes and structures. The company fosters an innovative, inclusive, and diverse work environment with a focus on pushing the boundaries of construction technology.
Build core backend services for context ingestion, indexing, and retrieval in a new AI-native data intelligence system.
Design scalable multi-tenant SaaS architecture and agent-facing APIs for reliable context retrieval.
Operate what you build using observability tools, and contribute to technical direction and architecture.
Grafana Labs is the company behind the open observability cloud, Grafana, which helps organizations monitor and act on their data. They are a 100% remote company with over 1,600 team members across 40+ countries, fostering a culture of transparency, collaboration, and open source.
Build and ship AI agents, APIs, and applications on Affirm's internal platform, owning the full lifecycle from architecture to production.
Turn messy business requirements from People Operations stakeholders into production systems, integrating with tools like Workday and Notion.
Design reliability infrastructure for multi-model LLM services, including structured output validation and quality controls.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The People Tech & Analytics team builds and owns the data, AI, and technology infrastructure for Affirm's People function, running like a product engineering group embedded in HR.
Own and drive the quality, reliability, and evolution of AI systems in production across multiple products.
Design and orchestrate agentic AI workflows, tool-based systems, and multi-step LLM chains with clean tool contracts.
Manage production prompt systems, run A/B experiments, and monitor AI system metrics using Langfuse and other observability tools.
Ruby Labs is a leading tech company that creates and operates innovative consumer products across health, education, and entertainment. The company has a fast-growing, ambitious team with a high-performance culture.
Design and implement production-ready AI capabilities that improve reasoning, accuracy, and explainability.
Optimize autonomous agent workflows and Retrieval-Augmented Generation pipelines for performance.
Develop evaluation frameworks and benchmark datasets to measure AI effectiveness and drive continuous improvement.
LTS builds an AI-native engineering platform for modernizing mission-critical healthcare systems serving millions of Veterans. The engineering team is intentionally small, giving every engineer meaningful ownership and direct influence over product direction.
Design and build scalable backend systems powering AI Agents in real-time enterprise environments.
Develop agent orchestration frameworks including multi-step reasoning, tool usage, and decisioning workflows.
Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools at scale.
Level AI is an AI-native platform that transforms enterprise contact centers into engines of customer intelligence and business growth. Headquartered in Mountain View, CA, as a Series C company backed by Battery Ventures and ENIAC, their team builds agentic AI at scale.
You will build AI-assisted tools, workflow automations, agents, prompts, and integrations to reduce manual effort and improve productivity.
You will partner with business stakeholders to understand high-friction workflows and deliver fit-for-purpose AI solutions.
You will implement engineering controls for data handling, access management, prompt safety, and output validation.
Shield AI is a venture-backed defense-tech company that develops intelligent systems, including Hivemind autonomy software and V-BAT and X-BAT aircraft, to protect service members and civilians. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, the company's technology supports operations worldwide.
Design and harden multi-step, tool-using agent loops for agentic experiences at enterprise scale.
Drive the vision for code understanding by combining deterministic systems and AI into innovative products.
Own agent engineering decisions on models, retrieval, context, cost, and latency to improve product quality.
Sourcegraph is the world's most powerful code intelligence platform, providing Code Search and Deep Search to help developers navigate and understand massive codebases. They are a globally distributed team backed by a16z, Sequoia, and Redpoint, and value high agency and direct communication.