Salary Context
This role offers $149k–$179k. The median for Mid-level backend roles is $100k–$160k (based on 44 listings). 26% above median.
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Job Description
We're looking for an AI Engineer who thrives at the intersection of data, APIs, and intelligent systems. You'll own the backend infrastructure that powers our AI-first platform, from data acquisition and normalization to API design and system architecture. This is a founding engineer role where your decisions will shape our technical foundation.
You'll focus on:
- Designing and building data pipelines that transform diverse sources into clean, queryable datasets
- Creating robust APIs that serve both internal AI systems and external partners
- Architecting backend services that handle high-volume, real-time data processing
- Partner with other engineers to build a seamless full-stack product
- Shipping features quickly, learning from real usage, and iterating
WHAT WE ARE LOOKING FOR:
Technical foundation:
- 5-8 years building production systems with modern Python (FastAPI, Django, or similar)
- Strong experience with data extraction, normalization, and database design (SQL + NoSQL)
- Proven ability to design and scale RESTful or GraphQL APIs
- Comfort with cloud infrastructure (AWS, GCP, or Azure)
- Real experience integrating LLMs into production systems (not just experiments)
AI-first mindset:
- You default to using AI tools (Claude, Cursor, Copilot) to accelerate development
- You think about how to build systems that get smarter with data
- You're excited about prompt engineering, embeddings, and working with unstructured data
Startup DNA:
- Early-stage company experience required
- Ship fast, learn from production, iterate based on data
- Thrive in ambiguity and make smart trade-offs without perfect specs
WHAT WE VALUE:
- Velocity over perfection: We'd rather ship and learn than build the "right" architecture in a vacuum
- Ownership: You'll own significant parts of the product: autonomy and accountability
- AI-native thinking: We're building for an AI-first world, not bolting AI onto old patterns
- Pragmatism: Use the right tool for the job, even if it's not the coolest technology
NOTE:
- Candidates outside of NYC are not being considered
- We are unable to provide sponsorship for this role
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