# Founding Applied AI Engineer at Clera

Founding Applied AI Engineer at Clera in San Francisco. On-site, full-time, paying $180k–$230k. Posted October 31, 2026.

- Company: Clera
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Pay: $180k–$230k
- Posted: 2026-10-31
- Apply: https://jobs.ashbyhq.com/clera/36ce80b0-517f-48c8-b34e-fca5b5299ada/application
- Source: https://jobmagic.ai/jobs/founding-applied-ai-engineer-clera-jknqy4

## 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.

## Description

### About the Role

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.

### What You'll Do

- 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.

### What We're Looking For

- 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.

### Compensation & Benefits

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.