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Software Developer – AI & Intelligent Applications
Kanari —Dublin, County Dublin
- Computer Science
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Software Developer – SaaS Provider
Coelrind Ireland Ltd —Carlow, County Carlow
- From €50,000 a year
- Full-time
- Hybrid work
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Quick apply
4h
Senior Software Developer
AMCS Group —Limerick, County Limerick
- Full-time
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ResMed —Dublin, County Dublin
- Full-time
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Senior Solutions Engineer,Auth0
Okta —Dublin, County Dublin
- €104,000–€143,000 a year
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Grouper —Dublin, County Dublin
- Hybrid work
- Azure
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Software Developer – SaaS Provider
Coelrind Ireland Ltd —Carlow, County Carlow
Any background in education technology or assessment. We use AI coding tools as a normal part of the development workflow — familiarity with tools like GitHub…
From €50,000 a year
Quick apply
4h
Senior Staff Engineer
MongoDB —Dublin, County Dublin
Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers.

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Software Developer – AI & Intelligent Applications

Kanari -
Dublin, County Dublin

Apply Now

Job details

12 days ago

Qualifications

Computer Science
Software Engineering
Git
AWS
Docker
Bachelor's degree
REST
Computer Engineering
Linux
AI
Business
Communication skills
Python
Debugging
SDLC

Full job description

Conscia Ireland is expanding its Development Team and is seeking a Software Developer with a strong focus on AI-driven solutions. This role will contribute to the design, development, and operation of intelligent applications and integrations that form part of next-generation technology offerings for our customers.
You will work across the full software development lifecycle, building cloud-native, secure, and scalable solutions that incorporate AI technologies such as machine learning services, intelligent automation, data-driven decisioning, and API-based integrations. The role suits a developer who is comfortable working in evolving technical areas and applying AI capabilities to solve real-world business problems.

Education: Level 8 bachelor’s degree in computer science, Software Engineering, or related discipline, or equivalent practical experience.

Python Development - Strong proficiency in Python for building production-grade services and AI-integrated applications.

API Design and Integration - Experience designing and consuming RESTful APIs, including authentication, versioning, and performance considerations.

Version Control - Proficiency with Git and collaborative development practices.

Cloud Platforms (AWS) - Experience developing and deploying applications on AWS. AWS certification is an advantage.

Documentation and Communication - Strong written and verbal communication skills, with clear technical documentation.

AI - Proven experience building and deploying production AI applications that integrate LLMs and implementing/operating Model Context Protocol (MCP) servers integrations in Python.

Desirable Skills

Experience with Docker and containerised environments.
Additional AWS certifications.
Linux server administration knowledge.
Understanding of networking fundamentals.
Awareness of cybersecurity principles.

Key Responsibilities

Design, Build and Maintain AI-Enabled Applications Design, develop, and maintain backend services, APIs, and user-facing components that incorporate AI capabilities. This includes integrating third‑party AI services or cloud‑native AI tools, as well as developing application logic that leverages data, inference, and automation.
Testing and Quality Assurance Implement comprehensive automated testing, including unit, integration, and end‑to‑end tests, ensuring reliable and maintainable solutions.
Debugging, Performance and Optimisation Analyse and resolve defects across development, test, and production environments, optimising performance, scalability, and AI‑related workflows.
Collaboration with Cross‑Functional Teams Work closely with product management, UX/design, infrastructure, and security teams to translate requirements into robust software solutions.
Secure Software Development Apply secure coding practices throughout the development lifecycle, protecting APIs, data, and AI models.
Operational Support and Continuous Improvement Provide post‑deployment support and contribute to continuous improvement of development standards, tooling, and practices.

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