Stellenbeschreibung:

Job Title: Senior AI Engineer

Location: LATAM (Remote)

Working Hours: 40 hs - Full time - Monday to Friday Required Overlap: 9 AM–3 PM PST

Compensation: $5,000- $7,000/month (DOE)

About the Company

Our client is a platform designed for software teams, that helps engineers, product managers and technical writers create, maintain, and optimize high-quality product, user, and API guides effortlessly. They enable their customers to streamline documentation workflows.

About the Role

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.

What You’ll Do

• 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.

• Strong collaboration, communication, and problem-solving skills; committed to continuous learning about emerging technologies and best practices.

• Experience utilizing AI tooling to enhance daily engineering efficiency.

Preferred Qualifications:

• Familiarity with Google Cloud tools for AI/ML deployment and scalability.

• Familiarity with data pipeline development and data engineering.

NOTE / HINWEIS:

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