Founding Engineer
New York, NY$120k - $175k + equityFull-timePosted 4mo ago
About the role
Founding Engineer to build core product and infrastructure for Aspect, including a virtual filesystem, Postgres-native backend, vector search, and a React frontend. End-to-end ownership from product interaction to production rollout at a NYC-based startup.
Responsibilities
- Build and ship product across the full stack, from frontend interactions to backend infrastructure and the systems that tie them together.
- Solve hard distributed-systems problems at the core of our virtual filesystem: tiered caching, concurrent writes without corruption, network-drop recovery, and offline sync.
- Extend our multimodal understanding pipeline, breaking media into searchable, structured data across scene boundaries, transcription, embeddings, and LLM-extracted metadata.
- Design new capabilities for our AI agent: what it can see across a media library, what it can act on, and how it communicates back to users.
- Build infrastructure for long-running, multi-step media workflows, including retries, dependency orchestration, and human-in-the-loop interactions.
- Develop evals, traces, and internal tooling to measure and improve agent and pipeline quality over time.
- Work closely with founders, design, and product to define how creative teams work in the future.
Qualifications
- 2+ years of experience building production software at high-growth technology companies or startups.
- Strong experience with TypeScript across both frontend and backend systems.
- Product-minded engineer with strong ownership and the ability to operate autonomously.
- Strong taste for product quality, interaction design, and engineering craftsmanship.
- Excited about the intersection of creative production and AI
- Comfortable working in-person from our NYC office 5-6 days a week.
Skills
Required:TypeScript
Nice to have:Distributed systemsAI/ML pipelines or multimodal understanding
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Aspect
AI Visual Understanding for Multimodal Data
With our visual understanding engine & platform, Aspect processes dense multimodal datasets, providing tools for segmentation, QC, structured schema extraction. Companies today have access to Glean and Notion Agents for working with vast text corpuses - Aspect is enabling that for multimodal data.
Computer VisionB2BVideoMediaAI
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