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