Design and build production AI agent systems for diagnosing and remediating infrastructure issues in large-scale GPU environments.
Develop distributed services, orchestration frameworks, knowledge graphs, and retrieval systems to power AI agents.
Own services end-to-end from architecture through production, collaborating with infrastructure and engineering teams.
The company builds AI agents that operate and automate large-scale GPU infrastructure. The engineering team is highly collaborative and remote, fostering ownership and autonomy.
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.
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.
Build reference architectures, benchmarks, and documentation that engineers trust.
Own the developer community, answering hard questions and setting the tone.
Write production-grade code for integrations and tooling that lower the barrier for new users.
Andromeda Cluster gives early-stage startups access to scaled AI infrastructure once reserved for hyperscalers. We are a unicorn with a small senior team, building the liquidity layer for global AI compute.
Design and write high-performing, scalable software for training models.
Develop new tools to support and accelerate research and LLM training.
Collaborate with engineering and scientific teams to create a strong post-training ecosystem.
Cohere is a security-first enterprise AI company building cutting-edge foundation models and end-to-end products to solve real-world business problems. They are a global team of researchers, engineers, and designers passionate about their craft, with offices in Toronto, London, New York, San Francisco, Montreal, Paris, Berlin, and Seoul.
Design and build backend services that integrate AI capabilities into customer-facing product features.
Develop performant, scalable APIs and backend services that connect AI outputs with SaaS functionality and customer workflows.
Collaborate with product and design teams to create intuitive and valuable AI-driven user experiences.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use AI tools in the hiring process to review applications and analyze resumes, operating with a diverse international team spanning more than 40 countries.
Design, build, and operate production-grade agentic systems for developers.
Develop core agent infrastructure including orchestration, tool execution, and evaluation.
Own projects end to end from opportunity identification to launch and iteration.
Our partner is a fast-growing Series C technology company that builds AI-powered developer tools. The organization is fully remote with an autonomous culture focused on engineering ownership and collaboration.
Lead in-depth technical discovery with engineering teams and customer stakeholders to understand AI inference requirements.
Translate customer objectives into production-ready architectures and define PoC success criteria.
Identify recurring workload patterns and communicate insights to Product and Engineering for platform evolution.
They are a partner company focused on AI infrastructure and performance-sensitive AI inference workloads. They have an international, engineering-led team solving complex challenges at the forefront of AI.
Build Go services on the event bus, AI/ML pipelines, or connector frameworks for a high-throughput, low-latency platform.
Own your latency budget and committed timelines in a fast startup environment with 1-week sprints and Friday demos.
Demonstrate ideas easily with working prototypes, adapt quickly to new technology, and ship clean code fast.
TTEC Digital is an innovation group inside TTEC, building next-generation AI CX tools for the world's biggest brands. As a public company since 1982, they operate like an early-stage startup with enterprise scale and a culture that values employee growth and innovation.
Build and ship customer-facing products across web, desktop, and mobile.
Design, develop, and maintain backend services, APIs, and cloud infrastructure.
Take ownership of high-leverage problems and collaborate across a small engineering team.
This company operates an ambitious AI research and product environment spanning web, desktop, mobile, backend, and AI systems. It is a small, collaborative engineering team that values autonomy, technical excellence, and low-ego collaboration.
Design and build scalable inference pipelines running on large GPU clusters for synthetic data generation.
Conduct data ablations and experiments to enhance model performance and data quality.
Research and implement innovative synthetic data curation methods using Cohere's infrastructure.
Cohere is a leading security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products for enterprises. They are a global team of researchers, engineers, and designers with offices in Toronto, London, New York, San Francisco, Montreal, Paris, Berlin, and Seoul.
Design and build agent runtime infrastructure with Firecracker, Rust, and Go
Define and enforce security boundaries for running untrusted AI agents
Architect global scale distributed systems for scheduling and orchestration
We build agent sandboxes—runtime infrastructure that is fast, durable, and secure by default for AI systems. We are a small, globally distributed team based in San Francisco backed by forward-thinking investors.
Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it.
Collaborate daily with researchers and engineers who are some of the best in the world at what they do.
Build and maintain the high-performance data layer that Modeling teams rely on for training and evaluation jobs.
Cohere is a security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products. They are a global team of researchers, engineers, and designers passionate about their craft, with offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.
Design and build distributed data systems handling large-scale ingestion and processing.
Drive architectural decisions and take end-to-end ownership of critical components.
Collaborate with product teams to translate ambiguous requirements into robust technical solutions.
Our partner builds a large-scale, multi-chain data platform that ingests, models, and delivers blockchain data to users and developers. They are a remote-first, distributed team with a strong engineering culture focused on ownership and collaboration.
Design, build, and maintain backend systems and integrations for AI-powered products and workflows.
Develop MCP connectors, REST APIs, and asynchronous processing systems to connect AI agents with internal and external services.
Ensure production reliability, scalability, and maintainability of backend services supporting AI agent workflows.
The client is building a managed healthcare model that combines proactive care with technology to support care teams. They are a growing startup developing AI infrastructure and seeking a senior engineer to build backend systems for production AI workflows.
Own the infrastructure layer for AI workloads including inference serving, Kubernetes, and agent-sandboxing platforms.
Manage the serving tier for open-weight models, Kubernetes operators, and stateful data planes.
Oversee the sandbox runtime, control-plane services, and observability tooling.
AZX accelerates positive impact in critical industries through AI transformation, specializing in physics-informed ML and enterprise AI solutions for climate and sustainability. Founded in 2024, the company is a profitable public benefit corporation with a growing team working with category leaders in real estate, energy, logistics, and utilities.
Design, build, and launch backend services incorporating LLMs and AI systems.
Build production-grade workflows for model inference, retrieval, and agentic patterns.
Partner with Data Scientists to take models from exploration to production.
SmarterDx uses clinical AI to help health systems capture revenue and improve quality by interpreting patient data. It is a remote-first company with a mission-driven culture, built by physician-data scientists and engineers.
Embedded with client teams to solve real business problems and ship working software.
Scope and design technical solutions, building production tools end to end.
Work directly with client stakeholders, translating ambiguous asks into shipped features.
AiStudio is an AI consultancy that embeds engineers directly inside portfolio companies of leading private equity firms to build production AI solutions that move real metrics. The company has a bias toward outcomes and ships code that drives cost savings, automation, and revenue.
Design, build, and ship reliable software for AI-powered scientific workflows.
Build scalable backend services, APIs, data pipelines, and integrations with laboratory instruments and enterprise systems.
Own projects end to end from technical design through implementation, deployment, monitoring, and iteration with customers.
Expert Intelligence is building the AI decision layer for analytical laboratories. We are a growing startup with a team of engineers and scientists, working on hard problems at the intersection of AI and science.
Design and develop scalable search and indexing systems for an AI search engine.
Ensure operational excellence by participating in on-call rotation and maintaining system quality.
Collaborate with a global remote team to solve distributed system challenges.
Algolia is a pioneer and market leader in AI Search, empowering over 18,000 businesses to deliver blazing-fast search experiences. With $150 million in Series D funding and a valuation of $2.25 billion, the company fosters a high-trust, flexible culture and values diversity and collaboration.