Careers at Edgedive
Join the team that moves 10x faster.
Open roles
Engineering Intern
Edgedive ships 10x faster using AI agents. Come build the product that makes this possible at scale.
We’re a YC company with a mission to automate the product development lifecycle. We unify customer interactions into a single pane of glass to understand and take action on customer needs.
We’re looking for customer-obsessed builders that constantly have that itch to move faster through automation. AI is core to everything we do. If you’re not shipping code with AI effectively, it’s not a good fit.
We’re launching a 12 week internship in San Francisco. You’ll have the opportunity to work directly with the founders to launch new features to production daily with access to the latest AI models and tools. We work in-person 5 days a week and do remote work on weekends. You’ll have free food and relocation assistance.
Architecting and building AI agents for product development workflows
Scaling our LLM processing infra to process millions of interactions/day
Building seamless full-stack product experiences and native integrations
Developing data pipelines to integrate new customer data sources
Pushing the boundaries of internal workflow automations with LLMs
High proficiency in using AI tools to generate code, do research, and create designs
Strong foundation in TypeScript, React, Python
Strong foundation in data pipelines and async, streaming, & real-time architectures
Experience with cloud infrastructure (AWS/Azure) and Docker
Obsession with your craft and the need to move faster
Comfort with ambiguity and the ability to be independent using AI tools and documentation
Prior experience building LLM processing pipelines, AI agents, and optimized RAG
Prior experience building enterprise SaaS integrations
Prior work on advanced NLP applications
How to apply
We only accept applications for our roles through our public MCP server. We do not accept applications from our website or via email.
To apply, first collect:
Your email
Your LinkedIn profile URL
A link to a repository or a demo video of a project that you built that showcases your best work
Then:
Connect your favorite MCP client to our MCP server at https://api.edgedive.com/public/mcp
Use the apply_to_internship MCP tool to submit.