Senior Generative AI Engineer - Remote, Flexible Hours

BairesDev; United States; Remote; MXN 2,235,000 - 3,352,000; Full time

Benefits offered by this job

Remote work

Competitive USD compensation

Home office setup

Flexible hours

Parental leave & holidays

Mentorship and growth opportunities

Job summary

BairesDev is hiring a Senior Generative AI Engineer to lead the integration, deployment, and evaluation of large language models in production-grade AI solutions. You will combine software engineering with generative AI methodologies to ensure robust, secure, and high-performance applications.

The role emphasizes designing scalable pipelines, building APIs, and collaborating across data and infrastructure teams.

Qualifications

• 5+ years of experience in Software Engineering, Generative AI, or a related field.
• Proven expertise in LLM integration, evaluation, and generative AI solutions.
• Strong proficiency in 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 systematically 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

Python

API development

SQL

Data handling

Testing & QA

Code quality

English proficiency

Job description

BairesDev is hiring a Senior Generative AI Engineer to lead the integration, deployment, and evaluation of large language models in production-grade AI solutions. You will combine software engineering with generative AI methodologies to ensure robust, secure, and high-performance applications.

The role emphasizes designing scalable pipelines, building APIs, and collaborating across data and infrastructure teams.