Software Engineer (AI)

Vintti is a dynamic staffing agency bridging the gap between Latin American talent and US-based businesses. We specialize in connecting skilled professionals from Latin America with small and medium-sized businesses, startups, and firms across the United States. Our mission is to provide top-tier staffing solutions that enable US companies to access a diverse pool of talented individuals while offering exciting career opportunities to Latin American professionals. By leveraging our extensive network and deep understanding of both markets, Vintti facilitates mutually beneficial partnerships that drive growth and innovation for our clients and candidates alike.

A Software Engineer (AI) specializes in designing, developing, and implementing artificial intelligence systems. This role involves leveraging machine learning algorithms, neural networks, and data analytics to create intelligent solutions that can automate tasks, enhance decision-making, and improve overall efficiency. Key responsibilities include coding, testing, and refining AI models, collaborating with cross-functional teams to integrate AI capabilities into products and services, and staying updated on the latest advancements in AI technology. The role demands a strong foundation in computer science, mathematics, and a keen understanding of data, model training, and optimization techniques.

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience in designing and deploying machine learning models.
- Proficiency in programming languages such as Python, Java, or C++.
- Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with data preprocessing, cleaning, and ETL processes.
- Knowledge of statistical analysis and data visualization tools.
- Familiarity with version control systems, particularly Git.
- Ability to write clean, efficient, and maintainable code.
- Experience with Agile development methodologies.
- Strong problem-solving and analytical skills.
- Excellent written and verbal communication skills.
- Experience with large-scale data processing and database management.
- Familiarity with CI/CD pipelines and practices.
- Ability to debug and optimize code for performance improvements.
- Understanding of software development principles and best practices.
- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI solutions.
- Experience with API design and implementation.
- Strong focus on continuous learning and staying updated with AI advancements.
- Proven ability to work collaboratively in a team environment.
- Experience with unit testing, integration testing, and system testing of AI solutions.
- Ability to mentor and guide junior engineers.
- Familiarity with performance tuning and capacity planning for scalable systems.

- Design, develop, and deploy machine learning models and algorithms.
- Conduct thorough data preprocessing, cleaning, and exploratory analysis.
- Optimize AI algorithms for enhanced performance and accuracy.
- Write, test, and maintain high-quality code in Python, Java, or C++.
- Review and critique code, ensuring adherence to best practices.
- Utilize version control systems like Git for code management.
- Monitor and ensure the reliability and efficiency of AI models in production.
- Stay updated on advancements in AI and machine learning technologies.
- Develop, implement, and run various tests to validate AI solutions.
- Debug and resolve model performance and software bugs.
- Actively participate in Agile development processes including planning and stand-ups.
- Work with large datasets to train and validate models, ensuring data integrity.
- Communicate technical concepts and decisions to diverse stakeholders.
- Create and maintain comprehensive technical documentation.
- Support and improve CI/CD pipelines for automated testing and deployment.
- Design and implement APIs to integrate AI capabilities into applications.
- Experiment with modeling techniques and feature engineering.
- Mentor junior team members and promote collaborative practices.
- Perform performance tuning and capacity planning for scalable solutions.

The ideal candidate for the Software Engineer (AI) position is an analytical thinker with a strong foundation in computer science, holding a Bachelor’s or Master’s degree in the field or a related discipline. They possess a proven track record of designing, developing, and deploying machine learning models, with proficiency in languages such as Python, Java, or C++. Their deep understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, and Scikit-learn, combined with experience in data preprocessing, cleaning, and large-scale data processing, equips them to handle complex AI projects. This individual demonstrates a proactive and self-motivated attitude, with keen attention to detail and a passion for continuous learning and staying abreast of AI advancements. They exhibit strong problem-solving and analytical skills, enabling them to optimize AI algorithms and debug performance issues effectively. The ideal candidate is an excellent communicator, capable of translating technical concepts for both technical and non-technical stakeholders, and excels in Agile development environments. Their experience with cloud platforms, CI/CD practices, and API design ensures seamless integration and deployment of AI solutions. They are also adept at mentoring junior engineers, promoting a collaborative and growth-oriented team culture. Balanced by a pragmatic approach to project constraints, they are resilient under pressure, possess strong organizational and time management skills, and are committed to delivering high-quality, user-oriented solutions with a fine-tuned blend of innovative and practical thinking.

- Collaborate with cross-functional teams to design, develop, and deploy machine learning models.
- Conduct data preprocessing and analysis to derive actionable insights for model improvement.
- Implement and optimize algorithms to improve the accuracy and efficiency of AI solutions.
- Write and maintain clean, efficient, and well-documented code in languages such as Python, Java, or C++.
- Perform regular code reviews to ensure adherence to best practices and identify areas for optimization.
- Use version control systems like Git to manage and document code changes.
- Monitor and maintain the performance of AI models in production environments, ensuring they operate reliably and efficiently.
- Research and stay updated on the latest AI and machine learning technologies, frameworks, and best practices.
- Develop and run unit tests, integration tests, and system tests to validate the functionality and performance of AI solutions.
- Debug and resolve issues related to model performance, data inconsistencies, and software bugs.
- Participate in sprint planning, daily stand-ups, and retrospectives within an Agile development framework.
- Work with large datasets to train and validate machine learning models, ensuring data quality and integrity.
- Communicate findings and technical decisions effectively to both technical and non-technical stakeholders.
- Contribute to the creation of technical documentation, including design specifications, user guides, and API documentation.
- Support the continuous integration and continuous deployment (CI/CD) pipeline for automated testing and deployment.
- Design and implement APIs and other interfaces for integrating AI capabilities into various software applications.
- Experiment with different modeling techniques and feature engineering approaches to maximize model accuracy.
- Provide mentorship and guidance to junior team members, fostering a collaborative and growth-oriented environment.
- Engage in regular performance tuning and capacity planning to ensure scalable and robust AI solutions.

- Analytical thinker with strong problem-solving skills.
- Proactive and self-motivated with a keen attention to detail.
- Team player with excellent collaboration and communication skills.
- Innovative mindset with a passion for advanced technologies and AI.
- Ability to manage multiple tasks and projects simultaneously.
- Strong commitment to continuous learning and professional development.
- Eager to mentor and support the growth of junior team members.
- Adaptable and flexible, capable of thriving in a fast-paced environment.
- Strong organizational and time management skills.
- Curiosity and enthusiasm for tackling complex challenges.
- Resilient and able to work efficiently under pressure.
- High level of integrity and work ethic, committed to quality and excellence.
- Ability to take initiative and drive projects to completion with minimal supervision.
- Strong critical thinking skills with the ability to make technical decisions.
- Excellent written and verbal communication skills.
- Open-minded and receptive to feedback and new ideas.
- Strong focus on delivering practical, user-oriented solutions.
- Ability to translate complex technical concepts to non-technical stakeholders.
- Pragmatic approach to balancing innovation with project requirements and constraints.

- Competitive salary range based on experience and qualifications
- Comprehensive health, dental, and vision insurance plans
- Flexible work hours and remote work options
- Generous paid time off (PTO) and holidays
- Retirement savings plan with company matching contributions
- Professional development opportunities and funding for certifications
- Access to cutting-edge AI tools and technologies
- Performance-based bonuses and incentives
- Wellness programs and gym membership discounts
- Company-sponsored conferences and training sessions
- Employee stock options or equity participation
- Collaborative and inclusive work culture
- Employee assistance programs (EAP) and mental health resources
- Onsite snacks, beverages, and occasional catered meals
- Opportunities for career advancement and leadership roles
- Team-building events and social activities
- Parental leave and family support benefits
- Travel and accommodation expenses for work-related conferences and seminars