Clarus Studio2 followers1 job

Full Stack Product Engineer

SeniorContract20 - 40 hours/week3 - 24 monthsRemotePosted 3 months ago
Farsh Mohajeri
Meet Farsh and the team
Pending fitX of Y criteria met

About the job

As a Full Stack Product Engineer, you will embark on an exciting journey of building and maintaining a cutting-edge product. Your work will have a significant impact as you integrate AI and ML workflows into a production web application, transforming complex inputs into structured outputs. The team values autonomy and collaboration, offering flexible hours and the opportunity to work part-time or full-time.

You'll be responsible for

🐣

Build and maintain the product across backend and frontend

Design, build, and maintain core product functionality across the full stack, from backend services to user-facing interfaces.
🐣

Integrate AI and ML workflows into a production web application

Turn AI and ML outputs into reliable product features that work within a production application.
🐣

Work with complex inputs including PDF, vector, and 3D file formats

Handle complex engineering and construction file types, including ingestion, processing, and transformation into usable system inputs.
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Key criteria

🐣

Strong Python backend experience

Proven ability to build production backend systems in Python, including APIs, data processing, and integration-heavy workflows.

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🐣

Knowledge of modern AI model workflows

Familiarity with applying and integrating modern AI models, including LLMs, VLMs, and computer vision models, in real product environments.

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🐣

Experience with modern AI model pipelines

Hands-on experience working with LLMs, VLMs, and computer vision models, including model integration, evaluation, fine tuning, and production use.

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Meet the team

About the company

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Think you're a good fit?See what the hiring team are looking for

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8 criteria for this job
Strong Python backend experience
Proven ability to build production backend systems in Python, including APIs, data processing, and integration-heavy workflows.

View

Knowledge of modern AI model workflows
Familiarity with applying and integrating modern AI models, including LLMs, VLMs, and computer vision models, in real product environments.

View

Experience with modern AI model pipelines
Hands-on experience working with LLMs, VLMs, and computer vision models, including model integration, evaluation, fine tuning, and production use.

View

Full stack development experience
Experience building and shipping complete web applications across backend, frontend, and supporting infrastructure.

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Experience designing and building RESTful APIs
Strong experience designing, building, and integrating reliable RESTful APIs for production applications.

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Experience integrating AI or ML into production applications
Hands-on experience turning AI or ML outputs into reliable product functionality, not just experimentation or model training.

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Experience with document processing, file parsing, or data extraction
Comfort working with complex file workflows, structured extraction, and transforming messy inputs into usable outputs.

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Knowledge of security best practices
Good understanding of secure development practices, including authentication, data handling, and application security fundamentals.

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A meaningful career starts with a match

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