LATAM Principal Software Engineer (AI)

As a LATAM Principal Software Engineer (AI) at Praxent, your primary responsibilities will include leading development teams to meet sprint commitments, driving the design and implementation of AI solutions, and establishing best practices for testing and validation. You will mentor team members on AI coding standards and facilitate collaboration to ensure project success.

To qualify for the LATAM Principal Software Engineer (AI) role at Praxent, you should have 8-12 years of relevant experience in technology projects, expertise in AI/ML frameworks such as TensorFlow and PyTorch, and a solid background in cloud-based services. Strong client leadership, mentorship experience, and a Bachelor’s degree in a relevant field will also enhance your candidacy.

Praxent is committed to maintaining a healthy work-life balance. As a LATAM Principal Software Engineer (AI), you will have the flexibility to work from anywhere within LATAM, with a strong emphasis on not exceeding a 40-hour work week. Our culture promotes the importance of personal time to ensure your wellbeing and productivity.

At Praxent, we believe in the professional growth of our team members. As a LATAM Principal Software Engineer (AI), you have access to paid educational opportunities including classes, conferences, and mentorship programs. Our learning cohorts also provide time dedicated to personal development, ensuring you are continuously growing your skills and expertise.

You can expect a warm and inclusive culture at Praxent. We value collaboration, innovation, and respect for everyone. As a LATAM Principal Software Engineer (AI), you will be part of a team that encourages open communication and supports each other's ideas and visions. We care deeply about our employees, fostering an environment where everyone feels valued.

In my experience, I have successfully designed and implemented AI solutions by leveraging various frameworks, including TensorFlow and PyTorch. I prioritize end-to-end deployment pipelines and ensure that models are optimized for production environments, which has allowed me to consistently deliver impactful AI-driven initiatives.

I believe in creating an open environment where team members are encouraged to share knowledge and ideas. By conducting regular brainstorming sessions and establishing a supportive culture, I ensure everyone feels valued and empowered to contribute to the project's success.

To ensure high standards of testing and validation, I would implement best practices such as establishing performance metrics, conducting thorough data quality checks, and focusing on model explainability. Prioritizing these aspects helps maintain model accuracy and reliability.

Mentorship is essential for growth. I focus on creating structured code reviews and providing ad-hoc guidance, which not only helps junior developers improve their coding skills but also fosters a supportive learning environment where they can grow technically.

In one project, I led the development of an AI-driven solution that required heavy data processing and model optimization. My role involved architecting the solution, collaborating with data scientists, and guiding the team through technical hurdles to ensure timely delivery while maintaining quality standards.

When faced with ambiguity, I begin by clarifying the project scope with stakeholders while ensuring alignment between business needs and technical feasibility. I involve team discussions to highlight unknowns and work collaboratively to find solutions that adhere to client expectations.

I assess AI tools based on their compatibility with existing systems, scalability, ease of use, and community support. Understanding project requirements is crucial for selecting the best tools that will enhance productivity and meet business goals.

I focus on simplifying complex concepts by using relatable analogies and avoiding jargon. I also demonstrate the ROI of AI initiatives through real-world examples and clearly articulate how these solutions align with the business objectives of stakeholders.

The most rewarding aspect is seeing the tangible impact of AI solutions on business performance. Being part of a team that pushes boundaries and drives innovation while nurturing the professional growth of colleagues is incredibly fulfilling.

I actively participate in industry forums, attend webinars, and engage with online courses to stay current on emerging trends in AI. By maintaining a habit of continuous learning, I ensure that I can lead my team with up-to-date knowledge and skills.