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