Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets.
Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents.
Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations.
Together AI is a research-driven artificial intelligence company that builds open and transparent AI systems. The company has contributed to leading open-source research like FlashAttention and RedPajama, and aims to lower the cost of modern AI through co-designed software, hardware, algorithms, and models.
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.
Architect and deploy autonomous AI agents and multi-agent workflows for privacy-first systems.
Build scalable backend services using FastAPI and orchestrate agentic workflows with LangGraph in AWS or Azure.
Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability.
Osano is a leading data privacy platform that helps organizations comply with global privacy regulations like GDPR and CCPA. Backed by top-tier investors and recognized as a Great Place to Work for four years running, the company has a 97% employee satisfaction rate and a mission-driven, fast-growing culture.
Design and own LLM-powered agents end-to-end on AWS GenAI platform with LangChain/LangGraph and Bedrock.
Build and operate MCP servers that expose company data and services as structured tools for AI models.
Define testing, reliability, and operational practices for major agent services and mentor across the team.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies, including 30% of the Fortune 500, and have a diverse, inclusive culture that supports individual excellence.
Design and implement security controls for autonomous and multi-agent AI systems, including RAG pipelines and vector databases.
Perform AI threat modeling to assess risks like prompt injection, data poisoning, and adversarial inputs, and develop mitigation strategies.
Build guardrails and monitoring for responsible AI governance, ensuring explainability, auditability, and compliance with federal standards.
LTS builds an AI-native engineering platform to modernize mission-critical healthcare systems for federal agencies, serving millions of Veterans. Their culture emphasizes innovation, collaboration, and secure, transparent AI development.
Set technical direction for agentic systems and drive fixes from hypothesis to shipped, measured results.
Work across GitLab's codebase as a generalist, applying distributed systems judgment to catch concurrency and scale issues.
Mentor senior and mid-level engineers through design reviews and pairing, and collaborate with India-based group on roadmap.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity, improve operational efficiency, and reduce security and compliance risk. Trusted by more than 50 million registered users and more than half of the Fortune 100, GitLab's high-performance culture is driven by values, AI adoption, and continuous knowledge exchange.
Build agent-driven workflows for cloud security platforms like FedRAMP High Cloud-Native SIEM and Tier 1 Agentic SOC.
Develop autonomous AI tools including triage, investigation, and reporting agents using agentic AI frameworks.
Translate complex systems requirements into production-ready AI solutions following AWS Well-Architected and NIST security controls.
First Due provides transformative, end-to-end software solutions for fire and EMS agencies to improve safety and effectiveness. The company offers a comprehensive benefits package and promotes a fully remote, inclusive work environment.
Build modular, plug-and-play AI agents that integrate into a broader agentic architecture.
Design and implement memory capabilities, including short-term and long-term memory, summarization, and retrieval-backed context.
Own quality through testing, evaluations, monitoring, and observability.
They build AI-powered applications to transform proposal workflows in the architecture, engineering, and construction industry. They operate in a fast-moving, remote environment with a focus on experimentation and continuous learning.
Contribute to the design, development, and operation of core components of Abnormal’s data platform.
Build tools and services that make it easy for other teams to adopt and scale data systems.
Help automate infrastructure and operations to improve reliability, performance, and scalability.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 4,500+ enterprises trust our behavioral AI platform.
Build and maintain backend services for our LLM gateway, including routing, rate limiting, and observability.
Contribute to sandboxing and isolation infrastructure for safe agent-generated code execution.
Write high-performance backend code in Go, Rust, or async Python, supporting Kubernetes-based platform services.
AZX accelerates positive impact in critical industries through AI transformation. Founded in 2024 and profitable from the start, we work with category leaders in real estate, energy, logistics, and utilities.
Develop, ship, and maintain secure, well-tested, and performant Flow Registry features across the Duo Workflow Service and the GitLab monolith backend.
Collaborate with Product Management, UX, and engineering specialists to refine requirements and deliver iterative product improvements.
Design and implement GraphQL and REST APIs, related backend logic, and improve automated testing to strengthen quality and reliability.
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 more than 50% of the Fortune 100 trusting the platform, GitLab fosters a high-performance culture driven by values and continuous knowledge exchange.
Partner closely with researchers to translate research workflows into self-improving agentic flows.
Design and build robust backend services using Python and Go to power our agents.
Drive adoption of agent-native research workflows.
Poolside is building Artificial General Intelligence to accelerate software development through agentic systems and coding assistants. The team is distributed across Europe and North America with a culture of low ego, collaboration, and kindness.
Design and build reusable agentic infrastructure, including memory, context management, tool-calling, orchestration, and feedback loops.
Establish evaluation and observability frameworks to understand agent performance and ensure reliable production systems.
Drive operational automation by bridging complex workflows with engineering and influencing architectural patterns.
Dwelly builds an AI operating system for residential lettings, automating workflows for landlords and tenants. Managing over 15,000 properties and $470M GMV, it's a fast-growing, product-focused team backed by $263M.
Design and build the agent orchestration layer for agentic AI systems that manage workflow state and next-best-action logic.
Integrate LLMs behind a provider-agnostic layer with structured outputs, tool-calling, and model routing.
Collaborate with frontend, product, and client stakeholders to ship end-to-end solutions.
Monks is a global, digital-first, data-driven marketing and technology services company that combines marketing and technology services to redefine brand interactions. With a culture of innovation, it ranks among Cannes Lions' Top 10 Creative Companies and fosters diversity and inclusion.
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.
Lead end-to-end development of advanced AI solutions including agentic systems, RAG pipelines, and multi-agent workflows.
Architect AI infrastructure with guardrails, access controls, and compliance protocols for ethical deployment.
Guide multi-disciplinary teams, setting technical playbook and best practices.
Nava is a consultancy and public benefit corporation that makes government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to solve technology modernization challenges, and they maintain a collaborative, remote-friendly team environment.
Design, develop, and deploy autonomous and multi-agent AI systems for reasoning, planning, and human-in-the-loop collaboration.
Engineer enterprise RAG pipelines with embeddings, hybrid retrieval, and prompt orchestration for explainable responses.
Build scalable backend services and APIs for enterprise AI workloads with security, reliability, and observability.
LTS builds an AI-native engineering platform to modernize legacy software systems, particularly for healthcare serving millions of Veterans. The engineering team is intentionally small, with every engineer having meaningful ownership and significant technical influence.
Own the agent systems that source cases and match people to claims they are owed.
Build evaluation and quality infrastructure to keep agent behavior measurable and reliable.
Recruit, vet, and grow the engineering team around the AI core.
Chariot Claims is an AI claims agent that helps consumers get paid for corporate violations like data breaches and antitrust. We are a small, fast-growing startup with a mission-driven, collaborative, and ethical team.
Design and deliver production-grade agents that investigate, reason, and act on live observability data.
Own the agent work from rough prototype to production-grade, including evals and full-stack development.
Extend the surface area in Canvas, the MCP server, and Canvas Skills, distinguishing hype from signal.
Honeycomb is an observability platform that helps developers understand their systems. With over 200 employees and a Series D funding, we foster a culture of impact, inclusivity, and autonomy.
Design and deploy scalable AI infrastructure and agent systems for enterprise customers.
Work on Kubernetes cluster design, multi-agent system architecture, and CI/CD pipelines.
Engage directly with customers to assess needs and present technical recommendations.
LangChain builds the foundation for agent engineering, helping developers create production-ready AI agents. With $125M raised at Series B from top venture firms and 100M+ monthly open source downloads, they have a strong engineering culture and meaningful team impact.