Full Stack Engineer

As a Full Stack Engineer, you’ll own and ship core parts of our platform for deploying AI agents within enterprises. 

You’ll work across the stack from data pipelines, agent infrastructure to customer-facing features to help scientists, engineers, and manufacturers accelerate innovation. 

This role is for someone who thrives on ownership, moves fast, and cares about impact. 

What you will do

• Build and ship new agent capabilities end-to-end across our TypeScript + Python + Go stack
• Develop and optimize backend services that power large-scale LLM pipelines, agents, and real-time data interactions
• Work on performance-critical data infrastructure for ingesting, querying, and visualizing time series data
• Design and deploy tools to evaluate, fine-tune, and serve AI workflows and agents in production
• Contribute to core platform engineering from CI/CD, observability, resilience, and developer experience

We could be a fit for you if:

• You have shipped meaningful products end-to-end, ideally across both backend and frontend 
• You have a first-principles understanding of AI agents, LLM workflows, or distributed systems 
• You take ownership. You care deeply about outcomes, not just tickets.
• You communicate clearly and enjoy working collaboratively as part of a team
• You’re strong in Typescript, Python, Golang or other software development frameworks

What we offer

• An opportunity to work in person in San Francisco with a lean team dedicated to building something great
• Ownership of product areas and the opportunity to shape our engineering culture 
• Flexible PTO - we trust you to balance rest with the high intensity of an early-stage startup
• Team off-sites to bond, get creative and build
• Health, vision, dental

Key success milestones for this role

Within 7 days 

• Develop a deep understanding of the Ohm platform, developer workflow and our customers' use cases 
• Ship your first full-stack feature or bug fix 
• Start testing Ohm features internally and flagging key improvement areas for engineering

Within 30 days 

• Take ownership of a product feature and lead the design and implementation 
• Collaborate with other engineers to improve the AI, data and backend infrastructure 
• Propose improvements to performance, UX, or internal tooling

Within 60 days 

• Lead the development of a new capability end-to-end 
• Shape architectural decisions as we scale the platform and serve more customers 
• Become a go-to engineer for a key area of the stack