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
- Raise the quality of social and article-writing agents, using evaluations to measure their outputs
- Improve how agents perform in search engine optimization and generative engine optimization
- Turn real-world results and performance signals into feedback that helps agents improve
- Own the AI stack, from agent design and model choices to the data pipelines that support them
- Work with the founder on AI direction and help build and lead the team as it grows
What you bring
- At least three years building production AI or machine-learning systems, including recent hands-on work shipping LLM products or agents
- You have designed evaluations and used large-scale outcome signals in search, ranking, recommendations or a related area
- Strong TypeScript, including Next.js, and Python skills, with experience shipping work end to end
- You have improved production AI through feedback loops and owned projects in a startup or small team
Who this fits
This role suits a hands-on AI engineer ready to shape agent architecture, evaluations and learning systems, with scope to help grow a team. You’ll work on-site in San Francisco. Visa sponsorship is unavailable.
From the employer
About the Role
As the first senior AI hire at an early-stage AI marketing SaaS startup, you will own the quality and intelligence of multi-channel marketing agents. You will work closely with the founder to shape the agent architecture, evaluation systems, and learning loops that help the product deliver reliable results.
What You'll Do
Improve agent output and content quality across social channels and article writing, making quality measurable through evaluation systems.
Improve performance across search engine optimization and generative engine optimization.
Build feedback loops that help agents learn from real-world results and performance signals.
Own and improve 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, including 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.
Experience building feedback loops, improving production AI systems, and owning work in a startup or small team.
Familiarity with search, ranking, or AI answer engines; marketing experience is a plus, while recommendations, algorithms, or reinforcement learning experience is also relevant.
Compensation & Benefits
Annual base salary is $180,000 to $230,000 USD. Visa sponsorship is not available.
Location
On-site in San Francisco, California.