AI Infra Engineer
Skills
Full-Stack DevelopmentCompetitive IntelligenceConnectorsDatabasesDecksModelingSemantic Search
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Python fluently for pipelines agent systems data processing and scripting
- Active GitHub with meaningful commit history
- REST and GraphQL API integration experience
- SQL schema design skills
- Full-stack development with Next.js or equivalent in production
- LLM API usage with Anthropic or OpenAI and agent orchestration frameworks
- Vector databases and RAG experience
- Experience ingesting and fusing data from multiple external sources
- Ability to translate raw signal into actionable output for non-technical stakeholders
- Experience building dashboards or reporting layers relied on operationally
- Dune Analytics or equivalent SQL querying against on-chain data is a strong plus
- Working knowledge of GTM and marketing team workflows
Nice to have
- End-to-end ownership
- Async collaboration
- Fast learner
- Independent builder
- Systems thinker
Day to day
- Own the intelligence layer end to end across data pipelines agent workflows and full-stack applications
- Collect process and surface signals from social on-chain and ads ecosystems into structured intelligence
- Work closely with marketing leads and client teams to understand workflows identify signal gaps and ship measurable systems