Senior Generative AI Engineer — Remote & Flexible Hours

BairesDev; United States; Remote; CLP 117,417,000 - 176,125,000; Full time

Benefits offered by this job

100% remote

USD compensation

Home setup provided

Flexible hours

Paid parental leave

Job summary

BairesDev is hiring a Senior Generative AI Engineer to lead the integration, deployment, and evaluation of large language models for production-grade AI solutions. You will fuse advanced software engineering with generative AI to ensure robust, secure, and high-performing systems.

Responsibilities include designing scalable pipelines, evaluating model performance, and building APIs with strong testing and data-handling foundations.

Qualifications

• 5+ years of experience in Software Engineering, Generative AI, or related field.
• Proven expertise in LLM integration, evaluation, and generative AI solutions.
• Strong proficiency in advanced Python development, API development, or automation.
• Solid hands-on experience with SQL, data handling, testing, and code quality.
• Advanced proficiency in English.

Responsibilities

• Design and implement scalable pipelines for integrating large language models into enterprise software systems.
• Develop and execute robust evaluation frameworks to measure and optimize model performance in real-world scenarios.
• Build clean, high-performance APIs and backend services using advanced development standards.
• Establish comprehensive testing protocols and code quality metrics to ensure system reliability and stability.
• Collaborate with data and infrastructure teams to ensure seamless data handling and optimal integration across workflows.

Skills

LLM integration

API development

Python development

SQL data handling

English proficiency

Tools

Python

REST APIs

SQL

Testing

Job description

BairesDev is hiring a Senior Generative AI Engineer to lead the integration, deployment, and evaluation of large language models for production-grade AI solutions. You will fuse advanced software engineering with generative AI to ensure robust, secure, and high-performing systems.

Responsibilities include designing scalable pipelines, evaluating model performance, and building APIs with strong testing and data-handling foundations.