Senior Agentic AI Engineer

Aimlroles; Dublin; In loco; EUR 120.000 - 160.000; Tempo pieno

Descrizione del lavoro

Citco seeks a Senior AI Engineer to design, develop, and deploy AI/ML solutions supporting business goals. The role focuses on architecting Agentic AI applications, leading ideation and research, and implementing cutting-edge techniques across scalable cloud platforms.

You will drive performance improvements, participate in CI/CD automation, and communicate complex findings to diverse audiences while enhancing production systems and knowledge sharing.

Competenze

• 8+ years of Python experience.
• 6+ years in AWS or other cloud.
• 4+ years building ML models with sklearn, TensorFlow or similar.
• 3+ years building DL models and neural networks.
• 2+ years building AI systems and AI Agents.
• Strong experience with Agentic AI design patterns, AgentOps, validation and evaluation.
• Hands-on with enterprise MLOps / LLMOps tooling and platform design.
• Experience with serverless architecture is a plus.

Mansioni

• Design, develop, and implement AI/ML solutions to support business requirements.
• Architect Agentic AI applications following best practices.
• Lead in concept design, brainstorming, research and prototyping for innovative solutions.
• Research latest AI/ML trends and implement cutting-edge techniques.
• Resolve issues through debugging, research, and investigation.
• Participate in performance/load tests and optimize scalability.
• Provide timely solutions to production issues and contribute to CI/CD automation.
• Document solutions and maintain knowledgebase.

Conoscenze

Python

AWS

ML frameworks

Deep Learning

Agentic AI

MLOps

Serverless

AI coding tools

Strumenti

Kiro

Copilot

Strands

Descrizione del lavoro

Citco seeks a Senior AI Engineer to design, develop, and deploy AI/ML solutions supporting business goals. The role focuses on architecting Agentic AI applications, leading ideation and research, and implementing cutting-edge techniques across scalable cloud platforms.

You will drive performance improvements, participate in CI/CD automation, and communicate complex findings to diverse audiences while enhancing production systems and knowledge sharing.