You will define, build, and evolve foundational systems that enable autonomous agents to operate reliably in production.
You’ll explore new approaches, prototype quickly, and turn what works into durable platform foundations.
You’ll identify high-leverage architectural improvements, abstractions, and guardrails that expand what the platform can do while keeping it reliable, secure, observable, and maintainable under real-world conditions.
You will design, build, and operate core systems that enable autonomous agents to function reliably in production.
You’ll build production-grade agentic workflows, retrieval and memory systems, multi-model execution, and tool-calling integrations that interact safely with enterprise systems.
You’ll explore new approaches, prototype quickly, and turn what works into durable production systems.
Kindo is an agent automation platform for DevOps and SecOps teams. They help organizations automate high-friction operational work using autonomous agents. Kindo is a small, highly technical team with strong customer traction and real enterprise revenue.
Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems.
Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops.
Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost.
Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets. They leverage AI and machine learning technologies to provide top international investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions. They are now a team of more than 300 highly passionate and curious individuals from all over the world.
Design and build production-grade AI systems, including RAG pipelines, multi-step agents, and LLM-powered features.
Build comprehensive evaluation and observability frameworks to measure model accuracy, grounding, and quality drift.
Create production-quality Python services to wrap AI logic into secure microservices.
League, founded in 2014, is the leading healthcare consumer experience (CX) platform powered by AI, reaching over 63 million people globally. Payers, providers, and consumer health partners use League’s platform to deliver high-engagement healthcare solutions and improve health outcomes.
Design and implement APIs, services, and infrastructure.
Prototype rapidly and continuously improve system performance.
Podium brings AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses, they have crossed $100M in AI Agent ARR, scaling 300% year-over-year and empowering real business outcomes for their customers.
Design and ship production-grade agentic AI systems that meaningfully improve customer workflows and internal operations.
Establish a clear technical architecture for AI at Moxie, including agent orchestration, tool/function calling and observability.
Integrate AI deeply into the Moxie platform, ensuring AI systems are secure, resilient, cost-aware, and aligned with a regulated environment.
Moxie empowers ambitious aesthetic entrepreneurs to build profitable, independent practices. They are a global, remote-first team of more than 140 people, supporting hundreds of practices nationwide, aiming to unlock sustainable success for aesthetic entrepreneurs.
Help build, implement, and deploy agentic platforms within client environments.
Focus on building and deploying scalable AI-driven solutions.
Work closely with client stakeholders, technical leaders, and delivery teams to build and roll out agentic capabilities.
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. With a team of 500 experts in 20+ countries, they are trusted by leading enterprises including Lululemon, Puma, and Starbucks.
Analyze requirements and propose innovative AI-native solutions to technical problems
Write clean scalable code
Test and deploy features & services
WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. They have exciting traction and just closed a $5M seed round to expand their engineering and product organization, as well as add additional services.
Define and evolve the technical vision for AI and agentic systems across products.
Design orchestration, data, and serving patterns that handle global scale with reliability.
Collaborate with AI Research to turn prototypes into extensible, governed production frameworks.
KnowBe4 is a cybersecurity company that puts security first, empowering over 70,000 organizations worldwide to strengthen their security culture. They value radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves.
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
Design and deploy high-performance agentic systems that leverage Fastino’s optimized model architectures.
Collaborate with engineering teams to turn novel architectural breakthroughs into scalable solutions for enterprise customers.
Drive rapid, iterative prototyping of AI functionalities, refining model performance and task-accuracy based on real-world telemetry.
Fastino is building the next generation of LLMs with a team of alumni from Google Research, Apple, Stanford, and Cambridge and has developed the GLiNER family of open source models. Fastino has raised $25M through seed round and is backed by leading investors including Microsoft, Khosla Ventures, and Insight Partners.
Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows.
Develop systems that maintain conversational context across complex multi-turn interactions.
Build scalable large language model and agentic platforms that enable widespread adoption and viability of agent development within the Apollo ecosystem.
Apollo.io provides sales and marketing teams with easy access to verified contact data and tools to engage and convert contacts in one unified platform. They are a fast-growing SaaS company with over 500,000 companies and millions of users globally, valued at $1.6 billion.
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. They provide a platform that converges people, data, and AI agents and is trusted by more than 1,500 of the most complex organizations worldwide.
Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture.
Tenable is an Exposure Management company that helps organizations understand and reduce cyber risk. They have 44,000 organizations relying on them and foster a culture of belonging, respect, and excellence.
Design and build end-to-end LLM-powered workflows, including RAG pipelines, tool-calling systems, and agent architectures
Rapidly prototype internal AI assistants and automation tools across business functions
Develop shared connectors to major LLM providers and internal data sources
AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience. As they enter the next phase of rapid growth, they are seeking people to help lead the journey as a devoted and capable team.
Implement modular, scalable, multi-agent AI systems that operate 24/7 and integrate with marketing platforms
Create reusable workflow templates, playbooks, and “how-to” docs so partner teams can safely self-serve common automations
Grafana Labs is a remote-first, open-source powerhouse with over 20M users of Grafana, its open source visualization tool. They help more than 3,000 companies manage their observability strategies with the Grafana LGTM Stack and thrive in an innovation-driven environment.
Build and maintain AI request handlers, generation configs, and routing logic.
Implement monitoring systems, dashboards, and alerting for production AI system health.
Design metrics for analyzing the health and efficiency of our production AI resources.
Latitude is building the future of AI-native games, starting with AI Dungeon, an AI-powered role-playing game. They are a team of high-agency builders and storytellers who thrive on craft, curiosity, and community, and are a profitable, remote-first company with a hub in San Francisco.
Design, build and maintain agentic workflows using low-code/no-code orchestration platforms and enterprise LLMs.
Translate business needs to AI logic by dissecting requests and re-engineering processes to be compatible with how LLMs and agents work.
Integrate agents with enterprise platforms via APIs and webhooks and determine how to extract, clean, and contextually feed data into AI models.
Lookout, Inc. is an endpoint to cloud security company purpose-built for the intersection of enterprise and personal data. They safeguard data across devices, apps, networks and clouds through their unified, cloud-native security platform and are trusted by enterprises of all sizes, government agencies and millions of consumers.
Lead discovery sessions to understand customer system landscapes, requirements, and constraints.
Build, review, and debug code for AI-driven workflows, integrations, and agent orchestration.
Deploy and configure Tessera’s AI agents in complex enterprise environments.
Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, they build multi-agent AI systems that automate complex business workflows across platforms.
Deploy and manage AI agents and multi-agent workflows
Configure and enforce access control, permissions, and knowledge boundaries
Maintain governance standards and audit trails
SPACE44 builds and operates software systems for companies that need technology to work reliably in real, day-to-day operations. They work as long-term engineering partners, embedding experienced engineers into client environments and taking responsibility for execution, stability, and ongoing improvement of production systems.
Define and evolve the corporate GenAI architecture, ensuring strategic alignment and scalability.
Design and implement intelligent agent platforms, including orchestration and multi-agent workflows.
Define and standardize communication protocols between agents, adopting the Model Context Protocol (MCP).
Getnet is a global technology company specializing in payment solutions for commerce. As part of PagoNxt, the global fintech of Grupo Santander, we operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay.