Senior AI Engineer

Aimlroles

Dublin

On-site

EUR 120,000 - 160,000

Full time

14 days+

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Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
AWS
ML frameworks
Deep Learning
Agentic AI
MLOps
Serverless
AI coding tools

Tools

Kiro
Copilot
Strands

Job description

Senior AI Engineer
About the Team & Business Line:

Proprietary software solutions and innovation are at the core of what differentiates Citco in the alternative investment space. Through our network of global development centres, Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our commitment to service excellence.

About You:
  • 8+ years' experience in Python
  • 6+ years’ experience in AWS or other cloud
  • 4+ years' experience building Machine Learning models usingsklearn, tensorflow or others
  • 3+ years' experience building Deep Learning models and Neural Networks
  • 2+ years' experience building AI systems and AI Agents
  • Strong experience building Agentic AI applications using frameworks such as Strands with solid understanding of Agentic AI design patterns, AgentOps, Agent validation and evaluation.
  • Hands on experience with enterprise MLOps / LLMOps tooling and platform design.
  • Proficiency in designing and implementing cloud-based applications in AWSpreferred
  • Experience withserverlessarchitecture is a plus
  • Must have strong communication skills and be able present diagnostic, troubleshooting steps and conclusions to a varied audience
  • Proficient in AI-assisted development using agentic coding tools (Kiro, Copilot, etc.) to deliver production software at accelerated pace while maintaining quality standards
  • Experience giving large technical Demo’s to all audiences
  • Demonstrated expertise in supporting large-scale systems
  • Strong interpersonal and communication skills and ability to deal effectively in a global team environment
YourRole:
  • Design, develop, and implement AI / ML solutions to support business requirements
  • Architect Agentic AI applications following best practices
  • Lead in concept design, brainstorming, research, etc. required to create new innovative solutions for consideration
  • Research the latest trends and implement cutting-edge AI/ ML techniques
  • Resolve technical issues through debugging, research, and investigation
  • Participate in performance/load tests, making recommendations to improve performance and scalability
  • Provide timely and effective solutions to critical production issues
  • Contribute to continuous integration and continuous deployment automation
  • Document solutions and keep knowledgebase up-to-date to support efficiencies
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