Build the geometry and data core of a new BIM authoring tool.
Develop AI agents that plan and edit building models.
Create generative design capabilities that account for building codes and client constraints.
We are an early-stage AI and AEC software team building a new BIM authoring tool designed for AI agents. As a small, startup-minded team, we value generalists, ownership, and initiative.
Build the geometry and data core of a new BIM authoring tool.
Develop AI agents that plan and edit building models.
Create generative design workflows that account for building codes and client constraints.
Early-stage AI and AEC software team building a new BIM authoring tool designed for AI agents. They are a small, fast-moving startup team with a strong focus on technical leadership and architectural decisions.
Design how engineers brief, steer, and review AI agents that generate and modify 3D designs.
Make agent work inspectable in 3D with viewers, cuts, measurements, 2D drawings, and change clarity.
Run research loops with engineers at industrial customers and turn findings into specs and shipped features.
3ive builds an AI co-engineer for physical products, with agents working natively in 3D on CAD platforms. They are a small, AI-native team serving major European manufacturers, working remotely across Europe.
Work with the frontend engineer to improve the product interface and remove bottlenecks to shipping.
Build and deliver features end to end, from architecture through deployment and reliability.
Establish practices for agent-driven software development and help coding agents produce reliable results.
We are an early-stage AI team building software for engineering design and simulation. As a small startup, we value ownership and adapting to changing priorities.
Automate manual factory processes end to end with AI agents.
Build and improve the platform every agent runs on.
Work closely with operators and finance to ship real-world tools.
CircuitHub is reshaping electronics manufacturing with The Grid, a factory-scale robotics platform for small-batch, high-mix assembly. Backed by $45M from Plural, Y Combinator, and Google Ventures, they are profitable and scaling fast.
Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data, plus rendering modules and large-scale datasets.
Implement and optimize post-training workflows for machine learning models and develop domain-specific languages.
Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building an AI Copilot for design and manufacturing. We are a remote-first team with a collaborative culture, offering equity, comprehensive benefits, and professional development opportunities.
Design realistic 3D production tasks for AI evaluation.
Create and modify 3D models, materials, lighting, and scenes.
Review AI-generated 3D content and define objective evaluation criteria.
Anyone AI creates high-quality training and evaluation data for frontier AI models. We are a remote team of contractors working on AI evaluation projects.
Architect and implement production-ready generative AI and LLM-based solutions within the product suite
Design and develop agentic systems, RAG pipelines, and evaluation workflows to automate tasks and improve reliability
Collaborate with product, design, and engineering teams to turn complex AI concepts into user-facing features
JUPUS is a fast-growing legal tech company in Europe, building the JUPUS platform to improve productivity for law firms. The culture is flat, fully remote, and fast-moving, with direct access to engineering leadership and a focus on practical AI systems.
Develop the architecture and infrastructure needed to scale the product to a large user base.
Build and operate the agent runtime, including orchestration, memory, verification, and supporting systems.
Take projects end to end across backend, infrastructure, frontend, and AI agents.
They are an early-stage AI infrastructure startup building scalable infrastructure for AI-powered service businesses. As the first engineer, you'll work directly with the founder in a fast-moving, ownership-driven culture.
Develop prototypes and MVPs using generative AI, automation, APIs, and modern web technologies.
Design and implement automated workflows with n8n and API integrations.
Collaborate with product, business, and technology teams to transform complex processes into practical solutions.
The company harnesses AI and modern web technologies to create practical, high-impact business solutions through prototypes and automation. It fosters a collaborative, innovation-focused culture with high autonomy, continuous learning, and an emphasis on diversity and professional growth.
Build and improve computer vision and 3D perception models that detect and assess infrastructure from LiDAR and imagery.
Develop LLM-powered products like agentic workflows, MCP servers, and AI copilots for customer tools.
Own models end-to-end, from data and training through evaluation, deployment, and monitoring in production.
Cyvl is a Physical AI company building purpose-built sensors, computer vision, and AI to turn every drive into current data for infrastructure. We're a fast-moving Boston startup with 500+ cities using our platform, and a culture of ownership, intensity, and care.
Implement features that improve MDLinx and drive user impact, with ownership growing over time.
Apply software engineering best practices including automated testing, clean code, and peer review.
Read AI-generated plans and code critically, and identify work for AI-assisted automation.
M3 is a Japanese global leader in healthcare technology and research solutions, operating physician websites with over 5.8 million members. MDLinx, an M3 company, focuses on transforming pharmaceutical brand promotion through omnichannel engagement.
Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries and nearly $10 trillion in assets on the platform, Addepar fosters a culture of ownership, collaboration, and continuous learning.