Design and implement tool-based environments for knowledge work simulations.
Write clean and modular code to support reinforcement learning training pipelines.
Troubleshoot and refine environment mechanics based on testing feedback.
Terac is building the world's largest pool of vetted human experts for AI. They are a platform for researchers and AI labs to recruit, screen, and pay study participants across industries and skill sets.
Build sandboxed environments that wrap real Niural workflows, stateful across episodes and seeded for reproducibility.
Design programmatic verifiers from known ground truth, scoring trajectories to prevent reward hacking.
Train agents via RL loops, curriculum schedules, and fine-tuning, then publish negative results internally.
Niural is a global Payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform that empowers businesses in the digital economy. We are a team building foundational internet infrastructure with a focus on speed, ownership, and ambition.
Design and implement model-based RL agents and planning controllers for real industrial systems.
Develop learned world models and training pipelines to make control agents reliable and safe.
Work closely with researchers and engineers to translate cutting-edge RL research into production outcomes.
Phaidra builds AI-powered control systems for industrial facilities, using reinforcement learning to help them learn and improve over time. The company is a fully remote, international team with roots at DeepMind and Google, and values Agency, Velocity, Craft, and Truth.
Build the environments and verifiers our models train against
Own the synthetic data pipeline, from generation through quality gates
Ship models into production and keep improving them on real usage
LiveKit builds the infrastructure layer for the voice-driven era of computing, enabling developers to build, deploy, and scale voice AI applications. Founded in 2021, they power voice AI for major companies and have a small, senior team that values craft and creativity.
Design and write high-performing scalable software for training models.
Develop new tools to support and accelerate research and LLM training.
Collaborate with engineering teams and scientific teams to implement experiments on cluster and data infrastructure.
Cohere is a security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products for real-world business problems. The company is a global team of researchers, engineers, and designers passionate about AI, headquartered in Toronto with offices worldwide.
Work closely with enterprise customers to translate ambiguous business problems into well-framed agentic workflows with clear success criteria.
Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data.
Own the full product lifecycle from conceptualization through production, flexing into frontend when needed to drive effective solutions.
Cohere is a security-first enterprise AI company building cutting-edge foundation models and end-to-end products for real-world business problems. They are a global team of researchers, engineers, and designers passionate about their craft, with headquarters in Toronto and offices in key cities worldwide.
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.
Own the roadmap for North's agent harness, including agent loop, context engineering, and tool orchestration.
Serve as the primary interface between North engineering and Cohere's Modeling team to ensure harness capabilities are validated before building.
Engage enterprise customers to surface real-world agentic failures and translate findings into product and model requirements.
Cohere is a security-first enterprise AI company that builds cutting-edge foundation models and end-to-end products for real-world business problems. The team consists of researchers, engineers, designers, and more, all passionate about their craft and dedicated to the widespread adoption of AI.
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.
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.
Build asynchronous Python/TypeScript services with FastAPI, Pydantic, and asyncio.
Develop agent orchestration, subagent delegation, tool calling, and structured outputs.
Create behavioral evals and regression datasets using Langfuse.
We are a venture-backed defense-tech company building AI-native intelligent software for sovereign institutions and their affiliated organizations. We have offices across the U.S., Europe, and the Middle East, and we are expanding our engineering team with people who demonstrate strong ownership and sound judgment.
You will build AI-assisted tools, workflow automations, agents, prompts, and integrations to reduce manual effort and improve productivity.
You will partner with business stakeholders to understand high-friction workflows and deliver fit-for-purpose AI solutions.
You will implement engineering controls for data handling, access management, prompt safety, and output validation.
Shield AI is a venture-backed defense-tech company that develops intelligent systems, including Hivemind autonomy software and V-BAT and X-BAT aircraft, to protect service members and civilians. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, the company's technology supports operations worldwide.
Build and integrate AI agent systems using frameworks like LangGraph or Agno.
Implement MCP servers and connect agents to them for seamless tool integration.
Utilize agent memory, RAG, prompt engineering, and reasoning models for task planning.
Winbold is a startup developing an AI-driven investment platform. They are a small, hands-on team focused on getting things done with a startup culture.
Own the product roadmap for AI agents, end-to-end from requirements to launch and iteration.
Work closely with engineering, service, sales, and customers to turn ambiguous user needs into concrete AI behaviors.
Define success metrics, build evals and instrumentation, and drive continuous improvement.
WorkHero builds an AI-powered back office for the skilled trades, starting with the HVAC industry. They have raised over $8M and are backed by notable investors, with a small senior team focused on innovation.
Evaluate LLM architecture logic for technical accuracy and audit ML code and notebooks for efficiency.
Refine RLHF frameworks to align models with human intent and analyze model reasoning in complex chain-of-thought prompts.
Benchmark performance by conducting comparative testing between model outputs based on technical metrics.
Prolific connects researchers with a global pool of participants for collecting high-quality human data to train AI models. With over 35,000 users, they focus on ethical data gathering to advance AI capabilities.
Build and ship LLM-powered applications and AI agent workflows.
Design systems for reasoning, planning, memory, tool use and multi-step execution.
Build evaluation frameworks to measure AI quality and reliability.
Gina's Tech Jobs is an IT staffing and recruiting agency that specializes in placing technology professionals. They partner with companies to fill roles such as this one, offering a wide range of positions.