Design and build challenging evaluations and executable environments for coding and long-horizon agents.
Develop scoring logic and verifiers to detect reward hacks and trace failures through model outputs and harness code.
Build and scale RL data pipelines for generating and curating challenging coding and agentic tasks.
Prime Intellect is building the open superintelligence stack, providing infrastructure for post-training frontier AI models and open-source models trained for long-horizon tasks. The company has raised $150M from top investors and is a mission-driven team passionate about accelerating science and AI.
Own end-to-end delivery of agentic platform features, from design to production.
Architect and scale the runtime that powers AI agents across the company.
Mentor engineers and drive reliability, cost, and security in production.
Alan is a health insurance and prevention platform that integrates insurance, prevention, and care into a single user experience. With over 1,000 employees, 1M+ members, and 40K+ partner companies, the company fosters a culture of ownership, speed, and collaboration.
Design and ship features end to end across data model, API, background workers, and UI.
Build and improve agent and model evaluation: sandboxed trials, scoring, and trustworthy aggregation of thousands of runs.
Improve benchmark task quality checks, integrate new models and agents, and keep the system fast and reliable as usage grows.
Turing accelerates superintelligence by providing high-quality datasets, reinforcement learning environments, and research benchmarks to frontier AI labs, and also deploys agentic AI systems for Fortune 500 enterprises. Headquartered in San Francisco, it operates with startup speed and an AI-forward culture.
Build and manage the AI platform including agent runtime, MCP servers, and guardrails for production agentic workflows.
Develop autonomous agents with tool use, evaluation frameworks, and observability to ensure quality and business outcomes.
Collaborate with Operators across functions to identify and automate manual processes, taking ownership from prototype to production.
Polygon Labs is a global blockchain payments company building infrastructure for instant, reliable onchain money movement. It has facilitated trillions in value transfer and supports millions of daily transactions for banks and fintechs, with a remote-first, inclusive culture.
Set technical direction for production agent systems, including orchestration, tool use, memory management, and failure recovery.
Build and operate shared foundations: evaluation frameworks, observability, execution controls, and model access with routing and failover.
Work with security and platform teams to ensure scoped permissions, data isolation, audit trails, and safe execution of tools and code.
Cobalt runs AI agents in production that test real customer applications, operating at the forefront of the pentesting industry. The company is rapidly expanding, offering a collaborative culture with mentorship, competitive compensation, and a focus on growth.
Build shared SDKs, APIs, and infrastructure for AI features and agentic workflows.
Integrate durable execution infrastructure for long-running agent workflows, including checkpointing, retries, and human-in-the-loop steps.
Develop evaluation and debugging tools that turn production failures into measurable improvements and regression coverage.
Vanta helps businesses automate security monitoring and demonstrate trust through compliance with standards like SOC 2, HIPAA, and ISO 27001. Founded in 2018, it has a kind, talented team and thousands of customers worldwide.
Own applied RL programs from ambiguous customer problem to deployed improvement loop.
Understand workflows, build environments and evaluations, run post-training experiments, and deploy results.
Work directly with customer researchers, engineers, and leaders, accountable for research result and practical impact.
Prime Intellect builds the open superintelligence stack, providing a full-stack platform for frontier-scale post-training of AI models. The company has raised $150M from top investors and is seeking builders who want to work at the intersection of frontier research, real infrastructure, and go-to-market.
Design and build agentic AI systems behind Velona, including LLM-orchestration loops and autonomous agents.
Develop high-scale backend services in Go, with Python and JavaScript, for performance and reliability.
Build tools and agents that execute analytical reasoning over fleet data with multi-tenant isolation.
SOFICO Intelligence applies advanced AI to extract value from back-office systems, building agentic AI that reasons over financial and fleet data. The company is backed by SOFICO and operates as a remote-first team of curious, self-directed people who like to build and ship.
Build production-ready infrastructure for autonomous AI agents, including secure code execution, state management, and model routing.
Collaborate with research teams to turn emerging ML ideas into scalable, fault-tolerant distributed systems.
Prototype and evaluate new technologies for agent workflows, from identity to resource management.
Cohere is a security-first enterprise AI company building foundation models and end-to-end products for real-world problems. We are a global team of engineers, researchers, and designers passionate about our craft, with offices worldwide.
Design and build the gateway, runtime, and evals services for AI workloads at scale.
Own technical decisions from design to launch, including identity, quota, and failover controls.
Partner with security and infrastructure teams to set guardrails for agentic workloads.
We provide clear, predictable pay-over-time financial products with no hidden fees. We are a remote-first company with an engineering culture centered on blameless postmortems and detailed technical design.
Build and improve AI agents by writing production code for Voice Agent and Autopilot platforms.
Own enterprise AI deployments from initial discovery through go-live, working directly with customers.
Design and implement AI workflows, debug agents in production, and turn customer needs into reusable product features.
Supermove builds software and AI for moving companies, providing systems for sales, operations, crews, and billing. The company has raised $30M from investors like Andreessen Horowitz and serves moving businesses across the US, Canada, and Australia.
Build infrastructure for frontier AI agent research: environment execution, trajectory collection, and evaluation at scale.
Develop reusable tools, APIs, and pipelines for launching experiments, managing data, and inspecting results.
Turn research prototypes into tested systems, making experimentation faster, more reproducible, and cost-efficient.
HUD builds reliable, fair, and open infrastructure for AI data, making data valuable for creators and trustworthy for labs. The team is a quickly growing group of ~25 researchers, engineers, and operators backed by $16M from top VCs and YC.
Build and maintain internal CLIs, SDKs, and services in Python or Go for deploying and debugging AI agents.
Deploy, scale, and tune LLM inference with vLLM, including GPU scheduling and cost/latency trade-offs.
Own MLOps workflows, Kubernetes operators, and CI/CD to take AI agents from laptop to production.
Tessera Labs builds multi-agent AI systems that automate complex enterprise workflows across platforms like SAP, Salesforce, and Snowflake. Backed by Foundation Capital, the startup operates with extreme ownership and a fast-moving culture at the frontier of applied AI.
Own the architecture of the agent platform and set technical direction for how agents are built at Quo.
Build advanced orchestration, memory, and self-learning so agents improve from customer feedback.
Mentor engineers through design and code reviews while driving scale, performance, and reliability.
Quo builds an AI-powered platform bringing calls, texts, and customer info together for small businesses. Trusted by 120,000+ companies, it's a remote-first startup with a fast-moving, autonomy-driven culture.
Ship working software to production frequently, in small increments, and lead projects end to end from spec to launch.
Build and deploy AI agents and features for customers and internal teams, extending the enterprise context layer.
Provision and run infrastructure, own what you ship, and mentor engineers across the team.
Fleetworthy offers the only complete technology suite for fleet readiness, uniting safety and compliance, toll management, and weigh station bypass solutions. Trusted by 75% of the top fleets in North America, we support millions of vehicles and drivers and are recognized across the industry for innovation and leadership.
Own the end-to-end architecture for AI products, including model selection, multi-agent orchestration, and retrieval systems.
Lead implementation of shared AI services, SDKs, and platform standards for production AI systems.
Provide technical leadership, mentoring, and stakeholder management to deliver high-impact AI initiatives.
RealPage provides software and AI solutions for the real estate and property management industry. It is a large organization that emphasizes innovation, engineering excellence, and responsible AI in a collaborative culture.
Build and maintain shared agent tools and capabilities in production.
Configure prompt agents and customize tools for each use case.
Deploy agents, monitor fleet health, and optimize in production.
EQT builds a fleet of AI agents that work alongside our people. The company emphasizes transparent leadership, connected impact, and supported growth, fostering a collaborative culture where every voice is heard.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate LLMs and traditional ML models into performant, scalable architectures.
Write clean, well-structured, and testable Python code following best practices.
NovoEd is a fast-growing product company integrating cutting-edge AI capabilities into its core offering to stay competitive and deliver exceptional value to customers. It is a small, fast-moving team with high autonomy.
Partner directly with strategic customers in the field to discover problems and frame high-impact GenAI use cases.
Design and build end-to-end GenAI/ML systems — RAG pipelines, agentic workflows, evaluation, and guardrails — shipping them to production.
Own the full stack from backend services to LLM pipelines and front-end integrations, iterating quickly with real users to harden pilots into reliable services.
ServiceNow is an AI control tower for business reinvention, bringing together AI, data, and workflows to help the Fortune 500 work smarter. You'll join an established enterprise software company building an AI-native culture where technology and talent are unstoppable together.