Clarus Studio2 followers1 job

Full Stack Product Engineer

SeniorContract20 - 40 hours/week3 - 24 monthsRemoteProductSoftware engineeringBack-end engineeringPosted 2 months ago
Farsh Mohajeri
Meet Farsh and the team
Think you're a good fit?See what the hiring team are looking for

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

View your fit

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.

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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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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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