owow
what you'll build
fast apis
– flask/fastapi endpoints powering llm agents, campaigns, and user flows
intuitive ui
– dashboards, workflows, and analytics built with
llm interfaces
– tools to configure, debug, and collaborate with ad agents
real-time data layers
– campaign tracking, spend logs, performance graphs
full-stack features
– from data models to ui components to deployment pipelines
production-ready code
– you own what you ship, from design to maintenance
our stack
backend & infra:
python (flask, fastapi), postgresql, redis, supabase, , go, docker, railway, aws (lambda), gcp, kafka, firebase
frontend & ux:
react, , typescript, tailwind css, figma → code
llm + ai agents:
openai, claude, ollama, huggingface, langchain, langgraph, crewai, autogen, vector dbs (weaviate, qdrant, lancedb)
dev & ops:
github, cursor, copilot/tabnine, posthog, sentry, logrocket, notion + slack
what you bring
3+ years of full-stack development experience in fast-moving teams
strong with
python (flask/fastapi)
,
react
,
typescript
, and modern frontend tooling
can turn a figma file into a live feature, end-to-end
solid grasp of api design, database modeling, auth, and deployments
thrive in ambiguity — you figure things out without full specs
hacker mindset: automate, debug quickly
bonus points
hands-on experience building/debugging llm workflows
familiarity with langchain, crewai, or multi-agent orchestration
built performance dashboards or internal tools before
early-stage startup experience — wearing multiple hats excites you
why join us?
you'll be a
founding engineer
with huge impact on product + culture
work on the frontier of
ai agents + real-time ad systems
small, fast-moving team → you'll ship
end-to-end features
that matter
chance to shape not just the codebase, but the
future of the company