Fluency Digital

33 jobs near Columbus, OH

Solutions Engineer

Manhattan, NY · On-site

$120 - $180/hr

Deep fluency with Git, CI/CD platforms (GitHub Actions, GitLab CI, CircleCI, Jenkins, or equivalent), and containerized build environments * Comfortable reading and writing code in at least one ...

Growth Lead

Manhattan, NY · On-site

$100 - $130/hr

Fluency across the modern growth stack--you can reason about attribution models, build a lifecycle email sequence, and interpret cohort retention curves without breaking stride * A portfolio of ...

WI · On-site

$100 - $130/hr

Deep fluency with Spark, Snowflake, and Python--enough to read logs, debug pipelines, and earn engineering trust * Demonstrated experience building internal tools or platforms whose customers are ...

Senior Product Manager

Manhattan, NY · On-site

$90 - $120/hr

Proven ability to translate clinical evidence and provider needs into intuitive digital experiences. * Strong background in managing stakeholder relationships across medical, legal, and operational ...

Frontend Engineer

San Francisco, CA · On-site

$120 - $170/hr

Embedded accounting infrastructure powering the next generation of SMB platforms. You are a product-minded engineer who finds elegance in complex data visualization and thrives when bridging the gap ...

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Founding Backend Engineer for AI Infrastructure

Fluency Digital, Inc.

San Francisco, CA • On-site

$120 - $150/hr

Other

Posted 17 days ago


Job description

Fluency Digital, Inc. is a seed-stage AI startup located in San Francisco, California, that is building specialized intelligence tools for various professions. The company is looking for an engineer who excels in solving ambiguous infrastructure problems, constructing backend systems that power AI models, and balancing experimentation with reliability.

The ideal candidate will have 3 to 7 years of experience in backend or machine learning engineering, be highly proficient in Python, and have extensive experience with AWS or GCP environments. A strong understanding of scalable architecture design and optimizing machine learning models in production is essential.

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