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Open nowPosted 788 days ago

Senior AI Engineer

Scrabble

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Your applicationOpen nowSenior AI EngineerScrabble

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 788 days ago

The posting

Senior AI Engineer

## Company Overview (Not specified)

## Job Summary As a Senior AI Engineer, you will shape the future of our platform by implementing AI agents, fine-tuning large language models (LLMs), and integrating machine learning (ML) capabilities. This is a unique opportunity to be part of a small but highly ambitious team, where your work will have a direct impact on the product, customers, and company trajectory.

## Responsibilities - Lead the development and deployment of AI agents to enhance platform features and efficiency. - Fine-tune and optimize large language models (LLMs) to align with specific use cases and customer needs. - Design and implement ML algorithms to power innovative solutions for content quality scoring, style enforcement, and workflow automation. - Collaborate closely with founders to identify and prioritize AI-driven solutions. - Establish best practices and contribute to the long-term AI/ML roadmap.

## Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 5 years of experience in AI and ML development, with demonstrated expertise in deploying production-grade solutions. - 2 years of experience building applications using LLMs. - Proficiency in programming languages such as Python and TypeScript. - Strong understanding of natural language processing (NLP) and its applications. - Proficient in designing, implementing, and maintaining RESTful APIs. - Excellent problem-solving and collaboration skills. - Strong sense of ownership and accountability for delivering impactful solutions.

## Preferred Skills - Familiarity with Google Cloud tools for AI/ML deployment and scalability. - Familiarity with data pipeline development and data engineering.

## Experience - A minimum of 5 years in AI and ML development with specific experience in deploying production-grade solutions.

## Environment - Full-time remote position with a core overlap of 9 AM – 1 PM PST (4 hours) for customer calls and stand-ups; schedule the rest of your day around what keeps you productive.

## Salary (Not specified)

## Growth Opportunities (Not specified)

## Benefits (Not specified)

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