AI Engineer (Full-stack)
Tasks
- Build AI systems
- Build APIs for AI products
- Build core infrastructure from scratch
- Build embedding and retrieval systems
- Build external annotation tooling
- Build internal data operations tooling
- Build memory systems for autonomous agents
- Create scalable vector search infrastructure
- Design agent harnesses and self improvement loops
- Design synthetic data generation pipelines
- Develop inference serving systems
- Develop large scale evaluation infrastructure
- Develop reward and leaderboard systems
- Develop web crawling and scraping systems
- Improve system reliability and performance
- Ship full stack product experiences
- Ship in highly ambiguous environments
- Support technical architecture decisions
Perks/Benefits
- Direct technical influence
- Early stage equity upside
- Fast Moving Engineering Culture
- High technical autonomy
- Remote work
- Visa sponsorship
Skills/Tech-stack
APIs | Agent architecture | Embeddings | Inference Serving | LLM | Langchain | Large-scale | Large-scale evaluation | Llamaindex | Pydantic | Python | React | Reinforcement Learning | Retrieval-Augmented Generation | Synthetic data | Systems Design | TypeScript | Vector Database | Vector Search | Web Crawling | Web Scraping
Education
N/A
Roles
AI | AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer
Regions
Countries
States
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