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.
Design and develop backend services using Python and Go to support experiment platform APIs.
Build scalable APIs, data models, and developer tools to simplify research workflows.
Collaborate with cross-functional teams to deliver solutions aligned with evolving technical needs.
This role is with a partner company focused on AI research infrastructure. The team is remote-first, international, and emphasizes engineering quality and ownership.
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.
Own the agent layer orchestrating specialist agents for investor research, outreach, and conversations.
Build and scale the matching engine using embeddings, ranking, and feedback loops.
Ship production code end to end with Python, Postgres, and AI tooling.
Paires is a fundraising platform that pairs founders with investors using AI agents for outreach and relationship management. It is a small, senior, flat team that is profitable and self-funded.
Deploy Hermes Agent Enterprise across cloud, on-premises, and hybrid customer environments.
Integrate enterprise APIs, internal data sources, and authentication systems into agent workflows.
Partner with customers to scope requirements, implement solutions, and iterate based on feedback.
Nous Research is an AI research company that develops advanced AI agents for enterprise deployment. The team is entrepreneurial and focuses on solving complex technical challenges through customer collaboration.
Build and integrate AI agent systems using frameworks like LangGraph or Agno.
Implement MCP servers and connect agents to them for seamless tool integration.
Utilize agent memory, RAG, prompt engineering, and reasoning models for task planning.
Winbold is a startup developing an AI-driven investment platform. They are a small, hands-on team focused on getting things done with a startup culture.
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.
Build agentic applications that solve real customer use cases using our platform capabilities.
Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
Translate ambiguous problems into intuitive AI experiences and rapidly iterate into production-ready solutions.
Legion builds secure, reliable AI systems for government and enterprise, born from a Department of Defense partnership. Trusted by leaders like Palantir, Nvidia, HPE, and Oracle, the company focuses on embedding intelligence into complex systems to optimize workflows.
Contribute to the Platform Readiness team's agentic workflows on the Duo Agent Platform, designing and implementing automated evaluation of platform readiness.
Evolve the platform requirements knowledge base by contributing to schema design, validation tooling, and CI systems for cross-platform readiness.
Build integration surfaces that enable feature teams to engage with platform readiness tools directly in their existing workflows like issues, merge requests, and CI/CD pipelines.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and accelerate digital transformation. With over 50 million registered users and trust from 50% of the Fortune 100, GitLab fosters a high-performance culture driven by values and continuous knowledge exchange.
Design and build multi-agent AI systems capable of autonomous planning and execution.
Integrate AI coding agents into the SDLC to automate code generation, refactoring, and reviews.
Develop agentic workflows for automated incident triage, root-cause analysis, and patch recommendations.
Actian is a global leader in hybrid data management and high-performance cloud warehousing. They are an innovative, fast-growing company with a passionate and diverse team.
Contribute to the design and development of AI agents integrated into live production systems.
Build and maintain benchmark datasets to evaluate agent performance, accuracy, and safety.
Design and refine prompts, tool integrations, and agent workflows.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange. It is trusted by over 320 million people in 100+ countries and fosters a results-driven, innovative culture with a flat structure.
Build and operate production AI agents that reason over trusted context and use approved tools safely.
Integrate models with APIs, databases, and internal systems, implementing resilient tool use and error handling.
Establish evaluation harnesses, LLMOps foundations, and operational runbooks to ensure reliable, measurable performance.
RoomPriceGenie helps hoteliers achieve optimal pricing through a powerful algorithm that analyzes hotel data and market trends. Founded in 2017, the company has a global, diverse team and a culture of transparency and respect.
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.
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 and implement multi-agent workflows, including task decomposition, state management, and tool-use.
Implement rigorous evaluation frameworks to measure and improve agent performance at scale.
Develop reusable agents and prompt libraries serving 1,000+ brands with unique voices simultaneously.
Pencil builds the agentic OS for marketing, creating complex multi-agent architectures for brand-safe, scalable generative AI. They are a growing tech company with a distributed team, valuing innovation and flexibility.
Design and implement structured multi-agent architectures using Google ADK for production-ready systems.
Build deterministic graph workflows and integrate AI agents with enterprise datastores, APIs, and MCP tools.
Deploy optimized agents to Agent Engine via Google Cloud Platform, ensuring high availability, security, and low latency.
TTEC Digital pioneers engagement and growth solutions that fuel exceptional customer experience (CX). With 1,800+ employees, we are part of TTEC Holdings Inc., which has been certified as a Great Place To Work 2024-2025 across 14 countries.
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 build the trigger system linking GitLab events to AI-powered Duo Flows.
Architect for high availability and throughput in a multi-service environment.
Collaborate cross-departmentally to integrate triggers with the broader agent ecosystem.
GitLab is an intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and improve operational efficiency. With more than 50 million registered users and over 50% of the Fortune 100 as customers, GitLab fosters a high-performance, values-driven culture where every voice is valued and innovation flourishes.