Build the core AI platform that powers a copilot inside a new, AI-native trading experience.
Develop a high-performance backend in Rust supporting streaming responses, low-latency tool execution, caching, and reliable orchestration of model plus tools.
Design robust APIs and runtime components for AI capabilities including authentication, rate limits, auditing, tracing, retries, and fallbacks.
Clear Street is a diversified financial services firm replacing legacy infrastructure used across capital markets. Founded in 2018, the company has built a cloud-native clearing and custody system and supports billions in trading volume per day, with a culture focused on collaboration and diversity.
Design, develop, and deploy production-grade AI-powered backend systems integrating LLMs and traditional ML models.
Integrate and optimize vector databases for RAG pipelines, and write clean, well-structured Python code.
Debug complex cross-layer issues and collaborate with product and engineering teams to deliver cohesive solutions.
We are a fast-growing product company integrating cutting-edge AI capabilities into our core offering to deliver exceptional value to customers. Our small, fast-moving team works on practical, real-world AI applications with high autonomy.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Build AI platform and production systems supporting computer vision, perception, simulation, and mapping products.
Own critical parts of the AI platform, including orchestration, APIs, and deployment patterns.
Partner with data scientists and simulation engineers to reduce iteration friction and design production architecture.
HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes. The company is an equal opportunity employer with a focus on innovation and inclusion.
Build and evolve core AI platform capabilities enabling teams to scale GenAI applications.
Design and implement distributed systems supporting multi-step AI workflows and integrations.
Collaborate across engineering, data science, and product to turn emerging AI use cases into production-ready platform capabilities.
Samsara is the pioneer of the Connected Operations Cloud, providing IoT solutions to improve safety, efficiency, and sustainability for industries like agriculture, construction, and transportation. As a recently public company, it fosters a culture of ownership and high-impact building with a focus on long-term growth.
Design and build scalable backend systems powering AI Agents in real-time enterprise environments.
Develop agent orchestration frameworks including multi-step reasoning, tool usage, and decisioning workflows.
Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools at scale.
Level AI is an AI-native platform that transforms enterprise contact centers into engines of customer intelligence and business growth. Headquartered in Mountain View, CA, as a Series C company backed by Battery Ventures and ENIAC, their team builds agentic AI at scale.
Lead the design and development of our production inference platform, defining the technical roadmap for inference infrastructure, model serving, and runtime optimization.
Build and operate scalable, cost-effective systems for serving large language models in production, optimizing latency, throughput, GPU utilization, and memory efficiency.
Partner with ML engineers to productionize new models and inference techniques, establish benchmarking methodologies, and make key architectural decisions.
Syllo is on a mission to transform litigation with a unified platform that enables lawyers to safely harness AI. Since going to market, they have gained diverse enterprise customers including big law firms and corporations, and are quickly expanding.
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.
Work directly with customers to understand workflows and build production-ready AI applications.
Contribute to core platform and customer-specific integrations, applying AI/ML and LLM techniques.
Own delivery from prototype to production, including architecture, backend services, and deployment.
Trase Systems, founded in 2023, is an AI company that simplifies enterprise AI adoption. It tops the Hugging Face GAIA Leaderboard and serves complex industries such as Healthcare, Oil & Gas, and National Security.
Build and expand our healthcare data platform and member management solution.
Write high quality code through various channels and in collaboration with the Product team.
Have a high degree of autonomy and influence on the culture and direction of the technical organization.
Ubiminds connects Latin American tech professionals with software companies in the US and Canada. With 9 years in the market and GPTW-certified, they support hundreds of professionals in data, design, product, and engineering.
Design and build evaluation systems to measure correctness, safety, latency, and regression risk for an AI copilot in a trading platform.
Develop automated quality gates, benchmark suites, and incident response for AI model reliability.
Partner with engineering and product to define safe tool/action contracts and drive model improvement loops.
Clear Street is modernizing the brokerage ecosystem by building a cloud-native clearing and custody system for capital markets. Founded in 2018, the firm supports billions in daily trading volume and fosters a collaborative culture with diverse, high-performance teams.
Own and drive the quality, reliability, and evolution of AI systems in production across multiple products.
Design and orchestrate agentic AI workflows, tool-based systems, and multi-step LLM chains with clean tool contracts.
Manage production prompt systems, run A/B experiments, and monitor AI system metrics using Langfuse and other observability tools.
Ruby Labs is a leading tech company that creates and operates innovative consumer products across health, education, and entertainment. The company has a fast-growing, ambitious team with a high-performance culture.
Design and build backend services for AI-powered product features, including inference pipelines and orchestration layers around LLMs.
Develop high-throughput, low-latency distributed systems with monitoring, logging, and alerting across production services.
Collaborate with product, infrastructure, and AI engineers to optimize performance, caching, batching, and streaming.
This team is building an AI-native productivity platform that replaces repetitive digital work with reliable AI workflows. They are a small, focused product team working on cutting-edge AI infrastructure.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration.
Mentor and support other ML engineers on the team with code reviews, technical guidance, and knowledge sharing.
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.
Design, build, and operate high-load distributed backend services powering the company's ML infrastructure.
Take end-to-end ownership of core ML services and data pipelines from design to deployment and continuous improvement.
Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities.
Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find products and enables brands to drive revenue. The company is fully remote, diverse, and values ownership and collaboration.
Design, build, and operate core GenAI platform components including LLM routing, vector search, and agentic workflows.
Own production-quality delivery and improve reliability through observability and incident response.
Partner with product teams and build internal SDKs, guardrails, and templates to enable AI feature development.
Pleo builds spend management solutions that make managing money seamless for businesses. They are a team of 850+ people from over 100 nationalities, with a driven, progressive, and kind culture.
Design, build, and architect AI capabilities on the Jitterbit platform using LLM, RAG, Azure AI, and other cutting-edge technologies.
Collaborate with cross-functional teams to define, design, and ship new features, ensuring reliability and scalability.
Mentor fellow engineers and stay current with emerging trends in AI and cloud computing to drive innovation.
Jitterbit is a leading data, application, and process workflow automation solution rooted in iPaaS, integrating critical business processes to accelerate digital journeys. The company is a growing leader with a distributed, remote-friendly culture that emphasizes performance, innovation, and collegiality.
Own critical parts of the AI agent platform, designing systems and writing production code daily.
Build AI agent pipelines for document parsing, extraction, analysis, and pricing.
Define engineering standards through CI, linters, and code review, and contribute to hiring decisions.
RYZ Labs is a startup studio founded in 2021 by experienced entrepreneurs who have worked at top tech companies. They build industry-defining companies with a remote team distributed across the US and Latam, fostering a culture of autonomy and efficiency.
Own AI features end-to-end, from agentic workflows and RAG pipelines to production infrastructure.
Build evaluation frameworks and experimentation loops to turn models into reliable, production-grade systems.
Partner with product and domain experts to push the frontier of AI capabilities inside an ERP.
DualEntry builds an AI-native ERP that automates manual data entry for accounting teams, serving companies from $5M ARR to NYSE-listed firms. It is a small, fast-growing startup with a culture of urgency and ownership, backed by top venture capital firms.