AI Engineer (Full-stack)
About The Position
Our client is building the infrastructure layer that teaches AI systems taste — enabling models to evaluate subjective quality across creative and aesthetic domains. Their platform develops agent architectures, evaluation systems, synthetic data pipelines, embeddings infrastructure, and reinforcement learning environments that help foundation models and application-layer AI products better understand subjective judgment. This is a rare opportunity to join an elite early-stage AI company building foundational infrastructure for one of the hardest unsolved challenges in artificial intelligence: teaching models nuanced human taste. You’ll join a world-class team with backgrounds across frontier AI, search infrastructure, indexing systems, and large-scale model evaluation.
Requirements
- 4+ years of software engineering experience
- Strong backend or full-stack engineering experience
- Strong Python proficiency
- Strong TypeScript / React proficiency
- Experience building production AI systems
- Experience working with LLM systems
- Strong systems design fundamentals
- Experience building scalable infrastructure
- Strong product engineering instincts
- Comfort with ambiguity
- Strong ownership mindset
- Fast execution velocity
- Ability to operate independently
- Strong technical curiosity
- Excellent problem-solving ability
- Comfort building greenfield systems
Nice To Haves
- Built agent systems in production
- Designed evaluation pipelines
- Synthetic data generation experience
- Embeddings / vector DB experience
- Built crawling / indexing infrastructure
- Inference serving experience
- LLM orchestration expertise
- LangChain / PydanticAI / LlamaIndex experience
- Built retrieval systems at scale
- Experience with reinforcement learning environments
- Early-stage startup experience
- Open-source contributions
- Strong side projects
- Creative technology background
- Experience at AI-native startups
- Worked on subjective evaluation systems
- Strong product taste
- Experience at indexing/search companies
- High experimentation velocity
- Strong systems architecture judgment
- Built from zero to production repeatedly
Responsibilities
- Build and ship AI systems across backend and product surfaces
- Design agent harnesses and self-improvement loops
- Build memory systems for autonomous agents
- Design synthetic data generation pipelines
- Develop large-scale evaluation infrastructure
- Build embedding and retrieval systems at production scale
- Create scalable vector search infrastructure
- Develop web crawling and scraping systems for visual datasets
- Build inference serving systems
- Develop APIs powering client-facing AI products
- Build internal tooling for data operations
- Develop external annotation tooling
- Ship full-stack product experiences when needed
- Build gamified user-facing experiences
- Develop reward and leaderboard systems
- Improve system reliability and performance
- Work directly with leadership on technical architecture
- Build core infrastructure from scratch
- Ship rapidly in a highly ambiguous startup environment
- Help define the technical direction of the company
Benefits
- Base salary: $180,000 – $300,000
- Equity: 0.25%–0.75%
- Visa sponsorship available
- High ownership environment
- Direct technical influence
- Early-stage equity upside
- Greenfield AI infrastructure challenges
- Work alongside elite AI engineers
- Fast-moving engineering culture
- Deep technical autonomy
- Opportunity to shape foundational AI infrastructure
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
