Senior AI Developer
At a glance
Senior AI Engineering role at Fa Euxc Saasfaprod1. Dublin · full-time · no salary stated · we estimate €87,600–€111,675 across Ireland.
Fa Euxc Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and refine machine learning models, including large-language-model and conversational AI systems
- Connect AI services to enterprise systems by creating and managing APIs
- Guide models through development, release, monitoring and ongoing improvement, supported by MLOps automation
- Test AI systems and improve their speed and reliability through prompt design and evaluation
- Turn stakeholder needs into technical solutions, test new approaches, and design systems that meet security and regulatory standards
What you bring
- A bachelor’s or master’s degree in computer science, data science, IT, engineering or a related discipline
- Hands-on AI/ML development experience covering LLMs, NLP, conversational AI and agentic or generative systems
- Strong Python or PySpark skills, familiarity with modern ML frameworks, and practical AWS AI/ML deployment experience
- Experience delivering AI projects from design through deployment and monitoring, with testing and API integration skills
Who this fits
This suits a hands-on senior developer who can build AI systems and explain technical choices to business and technical partners. You’ll work with evolving technologies and focus on quality, risk, and responsible delivery in enterprise settings. The role is based in Dublin, Ireland.
From the employer
About the Role:
The Senior AI Developer will be a key member of the Artificial Intelligence team and will play an integral role in designing, building, delivering and scaling AI-enabled systems and processes to improve business processes and decision-making capabilities. The AI developer will work within the development team to transform, optimize and digitize operational processes in order to deliver bottom-line value and results for Citco. The position requires you to work with different technologies including but not limited to machine learning, natural language processing, computer vision, generative models, and multi-agent systems.
About the Artificial Intelligence Team:
The Artificial Intelligence team is multi-disciplinary team charged with identifying, building and deploying operational AI-enabled solutions leveraging a suite of emerging technologies, such as Machine Learning, Natural Language Processing, Computer Vision, Large Language Models, generative models, and multi-
- Develop, optimize, and maintain machine learning models, including LLM-based and conversational AI systems.
- Implement and manage API generation and consumption for seamless integration of AI services into enterprise ecosystems.
- Contribute to end-to-end AI lifecycle management, including model development, deployment, monitoring, and continuous improvement.
- Establish and support MLOps practices, including CI/CD pipelines, versioning, and automation for AI solutions.
- Write and maintain robust unit and integration tests to ensure performance, scalability, and reliability of AI systems.
- Collaborate with business analysts, product owners, and stakeholders to translate business requirements into scalable technical solutions.
- Conduct proof-of-concepts (PoCs) and pilot programs to evaluate new technologies and drive innovation.
- Optimize AI performance through prompt engineering, evaluation techniques, and iterative improvements.
- Contribute to system architecture and design, ensuring modularity, scalability, and maintainability.
- Apply strong analytical and problem-solving skills to identify opportunities for automation and process optimization.
- Ensure AI solutions adhere to regulatory requirements, security standards, and ethical AI principles.
Key Competencies
- Strong experience with LLMs, GenAI, and Agentic AI architectures, including design and implementation.
- Proficiency in AWS cloud services for AI/ML development and deployment.
- Expertise in API design, integration, and microservices architecture.
- Strong programming skills (Python preferred) with solid technical depth.
- Experience with testing frameworks, including unit and integration testing.
- Solid understanding of software engineering best practices and Agile delivery methodologies.
- High level of technical expertise combined with strong analytical and problem-solving skills.
- Strong focus on quality and risk management in designing and delivering AI solutions.
- Excellent communication and teamwork skills, with the ability to collaborate across functions.
- Highly organized, accountable, and goal-oriented, with a strong drive for results.
- Demonstrated adaptability in working with evolving technologies and fast-paced environments.
Bonus Skills
- Experience with DevOps practices (CI/CD, containerization, automation).
- Familiarity with full-stack development for AI-driven applications.
About You
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, or a related field.
- Proven experience in AI/ML development, with hands-on expertise in LLMs, NLP, conversational AI, and Agentic/GenAI systems.
- Strong proficiency in Python (and/or PySpark) and modern machine learning frameworks.
- Practical experience with AWS AI/ML services for building and deploying scalable solutions.
- You are a hands-on developer who enjoys building intelligent, scalable AI systems using cutting-edge technologies.
- Experience delivering end-to-end AI solutions across the full lifecycle (design, development, deployment, and monitoring).
- Strong analytical and problem-solving skills, with the ability to work through complex challenges.
- Ability to work effectively in team environments, collaborating with technical and non-technical stakeholders.
- Excellent communication skills, with the ability to translate technical concepts into business-friendly language.
- You are curious and continuously learning, staying up to date with emerging AI tools, frameworks, and practices.
- Demonstrated ability to deliver AI solutions in enterprise environments with a focus on quality and impact.
Preferred / Assets
- Experience or knowledge of the financial services industry/products.
- AWS Machine Learning certification or similar credentials.
- Familiarity with DevOps practices (CI/CD, automation, deployments).
- Experience with Jira and Confluence.