We are looking for an AI Engineer to join our team at JTA. In this role, you will help shape our Data Science & AI department by designing, building, and deploying intelligent systems end to end, from early research and prototyping to production services, evaluation, and continuous improvement.
You will play an important role in the R&D of cutting-edge solutions, with a strong focus on LLMs and GenAI, while also contributing across the broader engineering lifecycle of AI systems. This is a hands-on role for someone with strong engineering fundamentals, practical experience building AI systems, and the ability to learn and adapt quickly in a fast-moving space.
What you will be doing:
* Contribute to the vision and growth of JTA's Data Science & AI department.
* Design, build, and deploy end-to-end AI solutions, with a strong focus on LLMs, GenAI systems, and intelligent automation.
* Work across a diverse set of challenges, from LLM-based applications and agentic workflows to recommendation systems and other applied ML use cases.
* Collaborate closely with product, business, and technical stakeholders to translate strategic goals into scalable AI solutions.
* Explore, research, and prototype new ideas that help bridge the gap between academia and industry, driving forward the R&D of innovative approaches.
* Take part in the full lifecycle of AI systems, from ideation and experimentation to deployment, monitoring, iteration, and long-term maintenance.
* Build reliable services and application logic around AI systems, ensuring clean interfaces, robustness, and production readiness.
* Contribute to system design, architecture discussions, and code reviews, ensuring high standards of scalability, maintainability, and performance.
* Develop and improve evaluation workflows, testing practices, and observability for AI systems in production.
* Work across data-intensive workflows and operational pipelines to ensure reliable inputs, outputs, and integration with existing platforms.
* Collaborate closely with infrastructure and platform teams to integrate AI systems into existing development and delivery workflows.
* Support and mentor junior team members, helping to grow their technical capabilities and engineering mindset.
Requirements:
* Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
* 2+ years of experience working at the interception of Artificial Intelligence and Computer Science with a strong foundation in Python.
* Proven experience working with LLMs and/or agentic frameworks in production or applied R&D environments.
* Solid understanding of the full lifecycle of AI/ML systems and how to bring them into production at scale.
* Strong software engineering fundamentals, with the ability to write clean, modular, tested, and maintainable code.
* Practical experience building and integrating production services, APIs, or backend components that support AI applications.
* Hands-on experience with modern AI development tools, frameworks, and workflows.
* Comfort working with version control, CI/CD, containerization, cloud platforms, and modern engineering practices.
* Good understanding of system design, reliability, performance, and engineering trade-offs in production environments.
* Balance of theoretical ML knowledge and hands-on implementation skills.
* Ability to learn quickly, adapt to new technologies, and work effectively across evolving technical challenges.
* Ability to work cross-functionally with other technical teams and communicate effectively with non-technical stakeholders.
Perks:
* Flexible Hybrid Work System;
* 15th Month Bonus Salary Policy;
* 4 extra vacation days;
* Participation in International Projects;
* Company-Paid Certifications;
* Training, career progression and support;
* Team Building Activities,
* Innovative & Young Culture.