Founding Applied AI Engineer
- San Francisco, United States
- On-site
- Mid Level
- 3+ years
- Posted
Skills
Required
- AI
- applied AI
- LLM reasoning / post-training / generative AI / agentic systems / search / recommendation systems / algorithms / machine learning research
- AI infrastructure / agent architecture / model strategy in production
- machine learning / AI systems
- LLM
- evaluations
- ranking / AI answer engine
- designing evaluations
- TypeScript
- Next.js
- Python
- data analysis
Preferred
- model strategy
- generative engine optimization
- data pipelines
As the first senior AI hire at an early-stage AI marketing company, you will own the quality and intelligence of its multi-channel marketing agents. You will shape the agent architecture, evaluation systems, and learning loops, while helping build the AI team.
Responsibilities
- Improve agent output and content quality across social platforms and article writing, using evaluation systems to measure results.
- Improve search engine optimization and generative engine optimization performance.
- Build feedback loops that help agents learn from real-world results and performance signals.
- Improve production AI infrastructure, agent architecture, model strategy, and supporting data pipelines.
- Help hire and lead the AI team as it grows.
Requirements
- At least 3 years building production machine learning or AI systems, with recent hands-on experience shipping LLM products or agents.
- Experience designing evaluations and using outcome signals at scale in search, ranking, recommendations, or related domains.
- Strong TypeScript, including Next.js, and Python skills for data analysis, evaluations, and model work, with a track record of shipping end to end.
- Production experience in applied AI, such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.
- Experience building feedback loops and improving AI infrastructure, agent architecture, or model strategy in production.
- Experience owning and shipping work in a startup or small team, plus strong research or applied AI achievements.
- Search, ranking, or AI answer engine experience is valuable. Marketing or go-to-market experience is a plus; recommendation systems, algorithms, and reinforcement learning are also relevant backgrounds.
Pay
Annual base compensation is $180,000 to $230,000 USD. Visa sponsorship is available.
Location
On-site in San Francisco, California. Candidates must be based in or willing to relocate to San Francisco.
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