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.
Design, build, and maintain agent infrastructure and platforms, including the TRACE Graph, embeddings, and semantic search.
Collaborate with detection engineers and threat hunters to encode domain expertise into agents.
Build automated evaluations and benchmarks for non-deterministic agentic systems.
Nebulock is an agentic threat hunting platform that autonomously surfaces behaviors, not just IOCs, from various data sources. As a startup, we emphasize collaboration, low ego, and a relentless focus on delivering customer value.
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.
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.
Monitor, operate, and support production AI infrastructure platforms including NVIDIA GPU environments.
Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.
Collaborate with engineering teams, vendors, and datacenter personnel to improve operational processes.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build scalable, secure, and sovereign infrastructure for modern AI and data-intensive applications. Serving enterprises like Adobe and PayPal, the company combines open source innovation with deep Kubernetes expertise to deliver composable developer platforms across any environment.
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.
Build and maintain the Shadeform GPU platform and automated AI infrastructure services.
Work on novel solutions to GPU market challenges including provisioning, orchestration, and virtualization.
Own the systems that turn fragmented GPU capacity into a reliable, production-ready platform.
Shadeform provides a unified platform for deploying and managing GPU infrastructure across cloud providers, neoclouds, and data centers. They are a remote-first startup focused on innovation and working with the latest AI technologies.
Develop and evolve the internal developer platforms that support development across Abnormal.
Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure.
Shape abstractions and workflows that are AI-native, consumable by both humans and AI agents.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. The company serves over 4,500 enterprises and fosters an inclusive culture as an equal opportunity employer.
Serve as the primary technical point of contact for teams running large-scale training and inference workloads, owning onboarding end to end.
Diagnose and resolve complex failures in customer environments, from network fabric to ML frameworks, and build automation to prevent recurrence.
Profile and improve distributed training performance, lead incident response, and turn field insights into product improvements.
Andromeda Cluster provides scaled AI infrastructure to early-stage startups, founded by Nat Friedman and Daniel Gross. They work with leading AI labs, data centers, and cloud providers to deliver compute globally, building the liquidity layer for AI compute.
Identify sources of friction across the software development lifecycle and scope agentic solutions to address them.
Design and build reliable AI-powered systems that follow step-by-step workflows and use tooling with safety checks.
Build and maintain evaluation tools that judge agent output on correctness, constraint compliance, and cost.
GitLab is an intelligent orchestration platform for DevSecOps that enables organizations to increase developer productivity and improve operational efficiency. With over 50 million registered users and a high-performance culture, GitLab fosters innovation and collaboration across a global remote team.
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.
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.
You own the platform runtime, voice infrastructure, enterprise security, and evaluation layer for all clients.
Work directly with the founder on architecture, from design through production and incident response.
Build self-serve infrastructure, lead incident response, and keep the platform fast and reliable on Kubernetes.
Rifa AI builds an AI agents platform for contact centers in regulated industries, helping enterprises deploy trustworthy voicebots. They are a small, passionate engineering team with paying enterprise clients and growing revenue, backed by Seaborne Capital.
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.
Architect and implement multi-agent systems using Google ADK for production-ready AI workflows.
Integrate custom tools and APIs, including MCP, to build deterministic graph-based agentic logic.
Deploy and scale optimized agents on Agent Engine (GCP) while ensuring high availability and low latency.
TTEC Digital coaches clients to ensure their employees feel valued, supporting an employee-first approach to customer experience. With 1,800+ employees, the company has been certified as a Great Place To Work and values diversity and inclusion.
Build AI-powered tools and copilots across the SDLC to reduce cognitive load and eliminate manual steps.
Research and deploy GenAI solutions to improve delivery pipelines and system reliability.
Collaborate with Platform, SRE, and DevOps teams to integrate intelligent automation into the core engineering platform.
Coderio designs and delivers scalable digital solutions for global companies. They combine strong technical expertise with a product mindset and value autonomy and clear communication.
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.
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 implement scalable agentic solutions for diverse use cases.
Build and maintain a centralized AI platform with unified APIs for cross-functional team access.
Lead technical discussions, mentor junior engineers, and set the technical vision for the AI platform roadmap.
Cotiviti is a healthcare data analytics company that provides payment accuracy and quality improvement solutions. The company has a large global workforce and emphasizes a collaborative, innovative culture.
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.