AI Engineer (Agentic Systems)

📋 Description

• Architect, develop, and deploy complex agentic systems, including orchestration, tool use, memory
• Build production-grade AI and machine learning systems using Python.
• Design, train, evaluate, and continuously improve machine learning and deep learning models.
• Apply strong foundations in statistics, optimization, and machine learning to solve complex
• Develop scalable AI solutions that work with structured and unstructured data.
• Establish and improve AI evaluation, observability, reliability, and infrastructure practices.

🎯 Requirements

• Degree in Computer Science, Engineering, or a related technical discipline.
• Strong Python programming skills and experience building production-grade AI/ML systems.
• Demonstrated experience architecting complex agentic systems, including orchestration, tool
• Strong theoretical and practical knowledge of machine learning, deep learning, statistics, and
• Experience designing, training, evaluating, and improving machine learning models.
• Familiarity with AI evaluation, observability, system reliability, and scalable infrastructure.

🎁 Benefits

• Competitive compensation.
• Opportunity to work on challenging, innovative projects aligned with your interests and skills.
• A culture that encourages accountability, autonomy, and ownership rather than micromanagement.
• Exposure to advanced AI challenges and collaboration with experienced engineers and data scientists.