Senior AI Engineer, (Panama-Based, Remote)

As a Senior AI Engineer at InVitro Capital, you’ll take on significant responsibilities, including designing and implementing AI-driven systems, optimizing model strategies, and developing AI agents for task automation and decision support. You'll also collaborate with clients to understand their needs, propose innovative AI solutions, and ensure integration with advanced tools and cloud infrastructure. Your role is pivotal in enhancing model accuracy and improving efficiency through innovative AI-powered processes.

To qualify for the Senior AI Engineer position at InVitro Capital, you should possess a Bachelor's degree in Computer Science or a related field, along with over 6 years of experience in AI solution engineering. Key qualifications include expertise in building and deploying AI agents using frameworks like Crew AI and LangChain, proficiency in model development, and familiarity with cloud deployment practices. Strong problem-solving skills and effective communication are also essential for successful collaboration with stakeholders.

InVitro Capital is dedicated to supporting the professional growth of its employees, including Senior AI Engineers. We offer opportunities to work on cutting-edge projects and stay abreast of emerging AI technologies. Our supportive and collaborative environment encourages innovation, enabling you to propose creative solutions and learn from industry experts. You'll not only refine your technical skills but also hone your leadership abilities while mentoring the next generation of talent.

As a Senior AI Engineer at InVitro Capital, you'll work with a diverse array of advanced technologies including AI frameworks like ChatGPT, LangChain, and Rasa. You'll also engage with cloud platforms such as AWS or Azure for deployment and performance optimization. Your role will involve leveraging modern tools for data processing, model training, and creating intelligent workflows that solve real-world problems across various industries.

InVitro Capital stands out for its commitment to innovation, collaborative culture, and focus on meaningful impact. As a Senior AI Engineer, you’ll be part of an inspiring team dedicated to launching transformative startups that leverage AI technologies. You'll have the autonomy to experiment and implement solutions, while also working alongside some of the best minds in the industry. With competitive compensation packages and a dynamic startup environment, it’s a perfect place for forward-thinking engineers.

In your response, highlight specific projects where you designed, built, and deployed AI agents, detailing the frameworks you used, like Crew AI or Rasa. Focus on the challenges you faced and how you addressed them. Providing quantitative results or metrics can significantly strengthen your answer.

When answering this, discuss various model optimization strategies you have employed, such as fine-tuning pre-trained models or leveraging ensemble learning. Use concrete examples to illustrate the impact of your strategies on model performance and accuracy, showcasing your problem-solving skills.

Explain your method for engaging with clients, focusing on how you gather requirements and translate them into technical solutions. Share examples of successful collaborations and how involving clients early in process development led to better outcomes. Communication and relationship-building are key aspects to cover.

Talk about your experience with cloud platforms like AWS, Azure, or GCP. Share insights into the tools you utilize for deployment, ensuring to mention how you ensure scalability and performance. Discuss any best practices you've learned for maintaining production-ready AI applications.

Share your strategies for staying current with AI trends, such as following relevant research, participating in webinars, or being part of professional networks. Mention any AI-specific conferences or workshops you've attended, and how you've integrated new learnings into your projects.

Describe your process for data preparation, including curating, cleaning, and annotating datasets. Highlight your experience with ETL pipelines and how proper data handling contributes to model effectiveness. Providing real-life examples of challenges faced and solutions implemented can enhance your response.

Discuss the significance of model monitoring and your experience using MLOps practices to ensure ongoing model performance. Share specific examples where you've implemented retraining workflows based on real-world data feedback, pointing to improvements made as a result.

Choose a project showcasing your leadership capabilities, detailing the objectives, challenges, and technologies used. Highlight the collaboration with stakeholders and how your innovative solutions led to successful outcomes. Metrics and feedback can demonstrate the project's impact.

Explain your systematic approach to problem-solving, describing how you analyze complicated business processes and identify opportunities for AI implementation. Use a specific example where your innovative solution made a measurable difference to strengthen your explanation.

Discuss the importance of mentorship in fostering team growth and collaboration. Share your perspective on how mentoring others can elevate the team's innovation and efficiency. If possible, include instances where you’ve successfully mentored colleagues and the impact it had on the team.