Senior AI Engineer (Agentic AI)
Core
Design, develop, and deploy autonomous Agentic AI systems, including multi-agent architectures and reasoning engines, to solve complex business problems.
Role type
Senior AI Engineer (Agentic AI)
Builds
Autonomous AI agents and decision-making modules for enterprise IT architecture
Domain
Enterprise IT, Cloud Computing, Agentic AI
Deliverable
production ML models
Required skills
Python, Java, C++, object-oriented design, machine learning algorithms, statistical modeling, cloud platforms (AWS, Azure, GCP), CI/CD, containerization (Docker, Kubernetes), infrastructure as code, version control (Git), data warehousing, ETL processes, big data technologies
Preferred skills
DevOps practices, Software Quality Assurance (SQA), Agile methodologies
Technologies
AWS, Azure, GCP, Docker, Kubernetes, Git
Responsibilities
Lead design and implementation of Agentic AI systems; Develop and optimize AI models for performance and reliability; Design and implement data pipelines for training and deploying AI agents; Collaborate with data scientists and product owners to translate business problems into AI solutions; Contribute to strategic planning of Enterprise IT Architecture with a focus on AI capabilities; Implement rigorous SQA practices for AI models and agentic systems
Seniority
Senior, hands-on IC
