Design and optimize training and post-training pipelines for large language models.
Improve model quality through supervised fine-tuning, reinforcement learning, and evaluation.
Build PyTorch-based training infrastructure and optimize distributed training across multi-GPU environments.
Lightning AI builds an end-to-end platform for developing, training, and deploying AI systems, founded in 2019. They are a global company with offices in New York, San Francisco, Seattle, and London, backed by major venture capital firms, and foster a builder culture that values urgency, ownership, and open communication.
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 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.
Design and build systems that generate synthetic environments for agent training and evaluation.
Build and maintain synthesis models for realistic replacement values at scale.
Build evaluation infrastructure that grades agent outcomes and discriminates between frontier models.
Tonic builds the data infrastructure behind modern AI, generating synthetic environments for agent training and de-identifying enterprise data. Eight years in, the company works with frontier AI labs and hundreds of enterprises, with a culture focused on solving hard data problems and shipping.
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.
Design and implement production-ready AI capabilities that improve reasoning, accuracy, and explainability.
Optimize autonomous agent workflows and Retrieval-Augmented Generation pipelines for performance.
Develop evaluation frameworks and benchmark datasets to measure AI effectiveness and drive continuous improvement.
LTS builds an AI-native engineering platform for modernizing mission-critical healthcare systems serving millions of Veterans. The engineering team is intentionally small, giving every engineer meaningful ownership and direct influence over product direction.
Taking ML or LLM proof-of-concept to production for large enterprises.
Designing and hardening data and training pipelines for enterprise ML systems.
Building LLM and RAG systems with retrieval quality, evaluation and cost control.
Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
Architect and build an enterprise-grade Agentic AI orchestration platform from the ground up.
Design scalable AI systems combining large language models, RAG, multi-agent workflows, and reusable components.
Provide technical leadership in architecture decisions, ensuring scalability, security, and reliability.
The company is building an enterprise-grade Agentic AI orchestration platform. It is a remote, international technology-focused environment with opportunities to solve complex AI/ML engineering challenges.
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.
Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.
Architect distributed LLM workflows and influence engineering behavior across the org.
Establish AI governance and security guardrails for LLM usage and data privacy.
Optimize the SDLC by embedding autonomous workflows and coding agents.
ServiceNow is the AI control tower for business reinvention, bringing together any AI, data, and workflow to help 85% of the Fortune 500 work smarter. We're building an AI-native culture where technology and talent are unstoppable together.
Develop and evaluate AI training data for LLM and AI agent platforms.
Create coding tasks and write reference-quality solutions for evaluation.
Critically assess AI-generated code for correctness, security, and maintainability.
Toloka is a leading expert human data platform for AI agents and LLMs, providing high-quality training data. The company focuses on improving AI models through human feedback and structured evaluation.
Build and maintain MCP servers, tool definitions, and context management capabilities.
Design and implement intent evaluation, classification, and routing workflows.
Integrate Anthropic and OpenAI models into production environments.
Applaudo designs, builds, and scales AI-powered solutions that create real business impact. They foster a high-performance culture grounded in values such as empowerment, collaboration, and transparency.
Deliver production-ready AI solutions in agile sprints, owning backend services, LLM pipelines, and front-end integrations.
Partner with strategic customers to design, implement, and deploy scalable AI-native solutions on the Now AI Platform.
Codify reusable patterns and influence platform strategy through field-tested insights and code.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. They are building an AI-native culture where technology and talent are unstoppable together.
Design and develop AI-powered applications and enterprise solutions using Large Language Models.
Build scalable Python backend services and integrate AI with cloud platforms and databases.
Optimize AI model performance and collaborate with multidisciplinary teams.
The company is a partner organization that develops AI-powered solutions for enterprise clients. They have a diverse, international team and foster a culture of innovation and continuous learning.
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.
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.
Lead a team through technical migration, transitioning templates to LLM autoraters using advanced prompt engineering techniques.
Utilize automatic prompt generation tools and supervise optimization processes to overcome deadlocks and plateaus.
Manually draft, test, and refine prompts for complex template architectures and edge cases, ensuring high autorater accuracy.
Welo Data provides AI services including data validation and prompt engineering. As a global company, they focus on refining AI systems through human and machine collaboration.
Conduct cutting-edge machine learning research, building and training large language models.
Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associated areas.
Disseminate your research results through publications, datasets, and code.
Cohere is a security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products for enterprise AI systems. We are a global team of researchers, engineers, and designers passionate about our craft, with offices in Toronto, San Francisco, London, and more.