Founding Applied AI Engineer
At a glance
Mid-level AI Engineering role at Clera. San Francisco · full-time · $180,000–$230,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Improve the agents' social and article content, then use evaluation results to track quality
- Raise performance in search engine optimization and generative engine optimization
- Turn real-world outcomes and performance data into feedback that helps agents learn
- Strengthen production infrastructure, agent design, model selection and the data pipelines behind them
- Help hire and guide the AI team as it grows
What you bring
- At least three years developing production AI or machine-learning systems, with recent LLM product or agent launches
- You have built evaluation methods and used large-scale outcome signals in search, ranking, recommendations or a related field
- Strong TypeScript, including Next.js, and Python skills, with a record of delivering complete projects
- Production applied AI experience in areas such as LLM reasoning, agent systems, search or another listed field
Who this fits
This role suits someone who has shipped applied AI work in a startup or small team and can help build an AI team. The job is on-site in San Francisco; you must live there or be willing to relocate. Visa sponsorship is available.
From the employer
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.
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AI Engineering$180k+
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