Design, build, and operate production AI systems, including agent orchestration and retrieval pipelines.
Architect and maintain marketing databases, pipelines, and the Customer Data Platform for advanced analytics.
Automate workflows with AI, ensuring data quality and reliability across end-to-end pipelines.
Samsara is the pioneer of the Connected Operations™ Cloud, enabling organizations to harness IoT data to improve the safety, efficiency, and sustainability of their physical operations. It is a publicly-traded company with a culture of autonomy and support, encouraging rapid career development and a scrappy, fast-moving team environment.
Build and enhance LLM-powered analytics features such as natural-language querying, retrieval-augmented generation, and agentic workflows over structured and unstructured healthcare data.
Contribute to text-to-SQL and semantic-layer systems enabling non-technical users to query complex datasets accurately and safely.
Develop retrieval pipelines using vector search and hybrid keyword+semantic methods while implementing evaluation, guardrails, and hallucination checks for compliance.
BPD is a strategic growth partner that provides integrated branding, marketing, communications, and business consulting solutions for healthcare brands. The company fosters an inclusive culture that values diversity, collaboration, and continuous learning.
Design, build, and own data pipelines moving data from application and third-party sources into relational databases.
Build and ship production AI systems, including data infrastructure and evaluation systems for feature reliability.
Set standards for data work through clear writing, early context sharing, and team efficiency.
Dscout builds a flexible UX research platform trusted by top brands in finance, healthcare, and tech. They are a remote-first team of passionate professionals that prioritize learning, diversity, and inclusion.
Lead the design and delivery of AI agents and automation workflows using technologies like Snowflake Cortex, LangChain, and LangGraph.
Oversee development of production-grade Python applications, libraries, and services with modular architecture, automated testing, and CI/CD.
Hire, develop, and mentor a high-performing team of software and AI engineers, establishing standards for agentic systems and reusable libraries.
This partner company is focused on building AI-enabled automation systems and production-grade software for a large-scale data collaboration ecosystem. They emphasize engineering excellence, experimentation, observability, and continuous improvement in a fully remote environment.
Build and maintain data pipelines, warehouses, and the underlying infrastructure.
Develop AI agents and internal workflows on top of the data foundation to drive efficiency.
Enable the product and broader organization to make faster, data-driven decisions.
Duvo Inc. is a company that leverages data to create AI-native workflows and agents, enabling faster, data-driven decisions across the organization. They are a team focused on innovation and building efficient data foundations.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Own work end to end from discovery to production deployment.
Design and build data foundations and full-stack applications on top of them.
Use AI coding agents as a primary build accelerator to ship production-grade AI systems.
We help companies design, build, and deploy AI agents that automate complex workflows, delivering reliability and efficiency gains. We are a small, fast-moving, ownership-driven team that thrives on building quickly and seeing results in days, not months.
Build and evolve production AI agents on foundation models using AWS Bedrock.
Develop evaluation pipelines and production observability for LLM systems.
Apply context engineering and agent architecture fundamentals to inform orchestration framework decisions.
Smart Working connects exceptional professionals with outstanding global teams through long-term remote opportunities. They are a high-rated workplace on Glassdoor that values integrity, excellence, and professional growth.
Own the Data Layer end to end, including ingestion, medallion-style modeling, and serving layers.
Build and operate ingestion and transformation pipelines using modern orchestration and cloud data warehouses.
Operate AI coding agents (Claude Code) to ship production-quality data infrastructure at high velocity.
Proton is building the AI operating system for wholesale distribution, embedded in the workflows that move nearly every physical product on the planet. They are a venture-backed startup with hundreds of distributor customers, and they hire builders with high agency and urgency.
Architect and own the enterprise AI data platform, including data ingestion, transformation, storage, and serving for all AI systems.
Design retrieval infrastructure for RAG applications, including embedding pipelines, vector stores, and hybrid search layers.
Own observability and evaluation frameworks for AI agents, ensuring output accuracy and audit trails.
3Pillar is an AI transformation partner helping enterprises build AI-native products and intelligent agents. With teams across multiple continents, they work with ambitious companies in financial services, healthcare, media, and technology.
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.
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.
Lead the design and delivery of AI agents and automation workflows for NBCU's data collaboration ecosystem.
Guide development of reusable tools, APIs, and components for agentic and software engineering workflows.
Oversee production-grade Python application design, testing, and CI/CD practices to ensure reliability and scalability.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, TV, streaming, and theme parks. As a subsidiary of Comcast, it fosters an inclusive culture and supports community engagement through employee-driven initiatives.
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.
Design and implement data pipelines and analytic infrastructures with the latest technologies.
Build data warehouses, create dashboards, and develop self-service data exploration capabilities.
Leverage AI tools to enhance client and internal capabilities, including AI agents and agentic infrastructure.
Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. They work with a diverse range of clients, from startups to established organizations, fostering a culture of continuous learning and AI integration.
Design, build, and maintain scalable data pipelines using modern tools like dbt, Airflow, and Prefect.
Develop curated data models and products to support analytics, AI workloads, and operational use cases.
Collaborate with AI, Analytics, and Product teams to deliver high-quality, scalable data solutions.
RemoFirst offers a platform that provides people management tools and employee benefits, enabling companies to hire talent globally. It is one of the fastest-growing private companies in the USA, backed by $40M+ in venture funding, with a fast-paced startup culture.
Partner directly with customers to identify data challenges and design technical solutions, connecting data sources and automating workflows.
Deploy and optimize AI-powered tools and workflows for customers, educating them on prompt engineering and LLM best practices.
Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden and improve platform reliability.
Standard Metrics is an AI-driven financial data platform that helps investors and portfolio companies make informed decisions with automated reporting and benchmarking tools. We are a team of optimistic product builders backed by 8VC and Spark Capital, trusted by top VC/PE firms.
Build, maintain, and optimize scalable data infrastructure for AI/ML features.
Partner with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.
Contribute to data pipelines, improve data quality, and ensure reliable, performant, and well-governed data for AI systems.
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout, with a culture that values starting with the customer, keeping it simple, staying entrepreneurial, being better together, and celebrating success.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.
Design and deliver production-grade agents that investigate, reason, and act on live observability data.
Own the agent work from rough prototype to production-grade, including evals and full-stack development.
Extend the surface area in Canvas, the MCP server, and Canvas Skills, distinguishing hype from signal.
Honeycomb is an observability platform that helps developers understand their systems. With over 200 employees and a Series D funding, we foster a culture of impact, inclusivity, and autonomy.