178 AI Development jobs in Ireland

Python & AI Technical Lead

Ireland – Dublin

6 months extendable

Candidates who having
Agentic AI development and AI / ML development.

Skill (Any 2 is Must)

Mandatory (Yes / No)

Proficiency in Python & AI Frameworks (LangChain, LlamaIndex)

Yes

Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic)

Yes

Knowledge of Agentic AI Patterns (Planning, Tool Use, Memory)

Yes

Integration with APIs, Databases, and External Tools

Yes

Understanding of Prompt Engineering & RAG (Retrieval-Augmented Generation)

Yes

JD

• Design and develop AI agents capable of autonomous decision-making and task execution.

• Integrate LLMs (Large Language Models) with external tools, APIs, and workflows.

• Implement reasoning, planning, and memory capabilities in AI agents.

• Optimize agent performance for scalability, reliability, and cost-efficiency.

• Collaborate with data scientists, engineers, and business teams to deliver AI-driven solutions.

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics — all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.

Join us to do the best work of your career and make a profound social impact as a Senior Software Engineer on our Software Engineering Team in Dublin, Ireland

What you'll achieve

As a Senior Software Engineer, you will work on Dell's portfolio of rack-scale AI servers and develop automation scripts for rack integration. You will also develop software for AI server development and perform performance benchmarking.

You will:

• Contribute to the design and architecture of new or re-engineered software/storage environments
• Prepare written software/storage specifications for sophisticated products from architectural diagrams and documents
• Build and review design, functional, technical and user documentation
• Develop, review and implement test strategies for software products and systems

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:

Essential Requirements

• 5+ years' applicable experience or equivalent skill; must have expertise in a full stack development environment and experience in Agile software development
• Skilled in Python and Shell with ability to code/debug sophisticated programs using written or verbal design specifications
• Knowledge of server architecture (including CPU, GPU, DIMM and networking), various operating systems, embedded software, firmware, BIOS, device drivers, databases, application administration, tools and utilities
• Ability to achieve proficiency using new tools, languages and operating systems with training and on-the-job experience

Desirable Requirements

• Bachelor's degree

Benefits and Perks of working at Dell Technologies

Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at

Who we are

We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

Job ID:R

About xAI

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.

We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.

All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Role

xAI was first in the world to build a 100k GPU cluster on an ethernet network and then did it again in 92 days, floors, walls and all. We need an engineer with deep experience in RoCEv2 that can develop at hyper scale while optimizing performance and availability. 

xAI is building at a furious pace with the latest hardware to help people understand the universe. To make the next significant leap forward, we need to own our own destiny by understanding our current network performance and availability and then optimize it to our training models and how we execute customer inference queries. You will spend most of your days deep inside  NCCL, building metric dashboards and tweaking configurations to ensure no performance is left on the table. You will help design the next iteration of our backend and front-end networks that will allow us to seamlessly build-out new GPU infrastructure with little to no engineering assistance.  

There will be a significant amount of travel to Memphis for building more capacity as well as participating in a team on-call rotation and helping on other scaling and maintenance efforts. This will become easier as we build out the team and engineers contribute to deployment and operations frameworks to remove repetitive tasks.

Location

We have 2 openings, one based in Palo Alto, California and the other in Dublin, Ireland. There will be significant travel expected to Memphis, Tennessee for data center buildouts and to the head office in Palo Alto for team collaboration.

Basic Qualifications

• A minimum of 10 years designing and operating large scale networks with 5 years in the ethernet AI/HPC space.
• Deep understanding of congestion control on ethernet with Infiniband an added bonus.
• Deep understanding of AI training and inference workloads and how they operate on the network. As part of this you are able to use and debug NCCL and potentially commit to the library.
• Expertise in creating a portfolio of metrics for performance and operations to optimize the fleet for training and inference traffic.
• Experience with Python to automate away repetitive tasks and facilitate your daily job working with and analyzing large sets of data.

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to an initial interview (45 minutes - 1 hour) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of five interviews:

1. Coding assessment in a language of your choice.
2. Data center network technologies and RoCEv2.
3. Manager Interview.
4. Meet and greet with the wider team where you will run through a presentation of a body of work you are proud of.

Benefits

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

xAI is an equal opportunity employer.

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About BigLook

BigLook is a commercialisation project at Trinity College Dublin, embedded within the ADAPT Centre. The project is focused on the research and development of AI-driven art intelligence technology. We are advancing the state of the art in multimodal artificial intelligence for the cultural sector, focused on developing a "System of Work" for the global art market powered by a domain-specific Large Multimodal Model (LMM) and a suite of AI Agents. Our work integrates cutting-edge research in computer vision, natural language processing, vision-language models, generative AI, and reinforcement learning with human feedback, translating these into production-grade systems capable of nuanced visual analysis, metadata extraction, and generative interpretation of artworks. Collaborating closely with art historians, galleries, and collectors, we combine rigorous AI research with domain expertise to produce robust, high-fidelity models that deliver novel insights into visual creativity.

About the role

The Research AI Developer will architect and implement a domain-specialized LMM for the art domain, integrating high-resolution imagery, textual metadata, and instructional data via advanced transformer-based architectures to produce semantically aligned joint embeddings. The system will support expert-level visual analysis, fine-grained attribute extraction, taxonomy classification, personalised recommendations, and context-aware generative tasks.

You will apply state-of-the-art generative models (diffusion, GANs, transformer decoders) with domain-aware conditioning, alongside transfer learning, meta-learning, and few/zero-shot strategies to handle heterogeneous styles, rare classes, and evolving art taxonomies. The role involves fine-tuning vision-language transformers using parameter-efficient techniques (LoRA, adapters), implementing hierarchical and cross-modal attention, and optimising multimodal alignment losses for semantic coherence. RLHF pipelines will be developed to align outputs with expert evaluative heuristics.

You will also be responsible for architecting and implementing sophisticated autonomous agents that can reason, plan, and execute complex tasks across the art market ecosystem. This involves designing agents capable of dynamic goal formulation, strategic task decomposition, and adaptive learning in response to real-time market data. A key focus will be on developing novel algorithms for agent communication and coordination, exploring techniques beyond standard protocols to enable emergent collaborative behaviors.

This position combines foundational multimodal AI research with production-grade deployment, delivering a robust, high-fidelity LMM optimised for subjective, high-variance visual art interpretation and creation.

Key Responsibilities

• Architect and Advance Domain-Specific LMMs
   – Design, pre-train, and fine-tune state-of-the-art multimodal architectures (e.g., BLIP-2, Llama 4) for deep art analysis, integrating high-resolution imagery, structured/unstructured metadata, and provenance records into unified semantic embeddings.
• Generative AI Pipelines for Art
   – Develop advanced generative systems leveraging diffusion models, StyleGAN variants, and autoregressive transformer decoders with domain-specific conditioning for style transfer, restoration, synthesis, and augmentation of artworks.
• Adaptive Learning for Rare and Evolving Styles
   – Implement domain adaptation, meta-learning, and few/zero-shot generalisation strategies to support emerging art demands, categories, and ontologies in the art market.
• Efficient and Scalable Fine-Tuning
   – Employ parameter-efficient training to adapt foundation LMM/LLM models to the art domain while optimising GPU/TPU resource utilisation.
• Human-Aligned Multimodal Reasoning
   – Design and run RLHF pipelines and preference-modelling loops that incorporate feedback from art historians, curators, and valuation experts, ensuring subjective alignment in interpretive tasks.
• Attention Optimisation and Multiscale Contextual Modelling
   – Engineer hierarchical, cross-modal, and sparse attention mechanisms (e.g., Performer, LongNet) to capture fine-grained visual detail and contextual relationships across large, heterogeneous datasets.
• Research-to-Product Translation
   – Rapidly prototype, benchmark, and productionise research innovations, bridging SOTA academic models with deployable APIs and scalable MLOps pipelines optimised for low-latency, high-fidelity outputs.
• Evaluation Beyond Accuracy
   – Establish hybrid evaluation frameworks combining quantitative metrics (BLEU, CIDEr, CLIPScore, FID) with qualitative expert panel reviews, cultural expert checks, and subjective aesthetic scoring.
• Multi-agent framework
  – Design and implement a scalable, asynchronous multi-agent framework, creating robust systems for agent communication, task delegation, and coordinated execution.
• Cross-Disciplinary Collaboration
   – Work with art experts to define ontology schemas, annotation protocols, and evaluation rubrics that guide both supervised learning and self-supervised representation learning pipelines.

Essential Qualifications & Experience

• At least 4 years of relevant experience in AI, machine learning, or data science.
• Strong background in deep learning and computer vision. Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow).
• Demonstrated experience with transformer-based architectures and attention mechanisms.
• Experience with vision-language or multimodal models (e.g., CLIP, Vision Transformers, GPT-4V) and generative models (GANs, diffusion).
• Familiarity with advanced fine-tuning methods (LoRA), RLHF techniques, and few-shot/zero-shot learning paradigms.
• Familiarity with multi-agent system frameworks such as LangGraph, AutoGen, or CrewAI.
• Solid understanding of agentic design patterns, planning algorithms, and inter-agent communication protocols.
• Creative problem-solving skills & a track record of innovation (publications or projects).
• Teamwork abilities for collaborating in a multidisciplinary startup environment.
• Master's or PhD in Computer Science, Artificial Intelligence, or comparable commercial experience.

All applicants should have a valid work permit or legal right to work in Ireland.

Overview
We are seeking a curious, collaborative, and proactive professional who is passionate about Generative AI to join our newly formed central AI team. As a Generative AI Developer, you will build innovative generative AI applications for business users. This role blends full-stack development with cutting-edge AI methods, delivering impactful solutions from data integration to user interfaces.

Key Responsibilities

• Collaborate with stakeholders to identify AI use cases and integrate solutions into workflows.
• Develop data pipelines for structured and unstructured data to support AI workflows.
• Process unstructured data using NLP and LLM techniques.
• Implement and optimize Retrieval-Augmented Generation (RAG), agentic AI applications, and LLM integrations.
• Build intuitive user interfaces for web and desktop platforms.
• Create dashboards to visualize AI insights and model performance.
• Deploy and monitor AI applications using Docker, Kubernetes, VMs, and enterprise schedulers.
• Maintain and support AI applications for reliability and performance.
• Ensure compliance with security and ethical standards in AI development.

Required Experience
What we're looking for

• 8+ years of experience with Python or .NET/C#, building production-grade applications and data pipelines
• Proficiency with SQL/NoSQL databases and data integration.
• Familiarity with OOP, DevOps, CI/CD, Docker/Kubernetes, automated testing, and debugging.
• Experience with LLM APIs (OpenAI, Azure, Gemini, Claude) and frameworks (LangChain, LlamaIndex, MCP).
• Understanding of RAG, vector databases, embeddings, and inference techniques.
• Knowledge of prompt engineering techniques (prompt chaining, chain-of-thought, multi-shot).
• Proficiency with developer tools like GitHub Copilot, Cursor AI, Windsurf.

Preferred (Not Required) Experience

• .NET development (C#).
• Familiarity with open-source AI platforms (Hugging Face, Ollama).
• Basic understanding of AI/ML Ops and model hosting.
• Experience with Gen AI evaluation and prompt tuning.
• Cloud platform experience (Azure, GCP, AWS).
• Frontend development for web and desktop UI/UX.
• Understanding of secure authentication (SSO, LDAP) and data handling.
• Financial knowledge or willingness to learn finance basics.
• Basic knowledge of traditional AI, ML, neural networks, and NLP.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Training in Generative AI is advantageous but not essential.

Candidate Profile

• Strong communicator and team collaborator.
• Quick learner, adaptable to new technologies.
• Results-driven with a focus on high-quality solutions.
• Committed to mentorship and team development.
• High integrity and conscientious about compliance and security.

If you're a recruiting agency and want to partner with us, please reach out to . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

Company Description

Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Our expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

We're an award-winning employer reflecting how our employees are at the very heart of Version 1 and what we do:

• UK & Ireland's premier AWS, Microsoft & Oracle partner
• 3300+ strong, €350/£300m revenue business
• 10+ years as a Great Place to Work in Ireland & UK
• Best Workplace for Women in the UK & Ireland by GPTW
• Best Workplace for Wellbeing in the UK by GPTW

We're a core values driven company, we hire people who share our values, and we reward those who display and foster them, it's deeply embedded within our DNA. Invest in us and we'll invest in you

Job Description

• Develop and maintain back-end AI-powered applications and services.
• Build and integrate LLMs and multi-agent systems using frameworks like Semantic Kernel, LangChain, or similar.
• Design and implement front-end interfaces for AI applications using modern frameworks (React, , Angular).
• Integrate front-end components with AI APIs and backend services using REST and GraphQL.
• Collaborate with data engineers, UX designers, product managers, and QA teams to deliver end-to-end AI solutions.
• Apply MLOps practices for model deployment, monitoring, and lifecycle management.
• Build intuitive, accessible, and standards-compliant UIs for GenAI applications.
• Support junior team members through knowledge sharing and mentoring.
• Maintain comprehensive documentation on AI models, including strengths, limitations, and data-driven justifications.
• Ensure secure and compliant development of AI systems in line with GDPR, EU AI Act, and Responsible AI guidelines.

Qualifications

• 4-6 years experience in Applications Development Lifecycle.
• Proven experience in backend development for AI applications and orchestration of LLMs/multi-agent systems.
• Proficiency in Python and ML frameworks such as TensorFlow and PyTorch.
• Experience with cloud ML services like Azure ML and AWS SageMaker.
• Strong front-end development skills in HTML, CSS, JavaScript, TypeScript, and frameworks like React, , or Angular.
• Experience with design tools and systems like Figma and Storybook.
• Knowledge of API integration, REST, GraphQL, and backend service orchestration.
• Demonstrated experience in prompt engineering and experimentation with multiple AI models.
• Familiarity with Agile methodologies, Scrum practices, and Application Lifecycle Management in a .NET environment.
• Experience in automated testing, including unit, integration, and end-to-end testing using modern frameworks.
• Understanding of AI security best practices and regulatory compliance (GDPR, EU AI Act).
• Strong communication skills in English, both written and verbal (IET or equivalent).

Additional Information

Why Version 1?

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits.
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme.
• Flexible/remote working, Version 1 is tremendously understanding of life events and people's individual circumstances and offer flexibility to help achieve a healthy work life balance.
• Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme.
• Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies.
• Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
• Reward schemes including Version 1's Annual Excellence Awards & 'Call-Out' platform.
• Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

And many more exciting benefits… drop us a note to find out more.

Ekta Bahl - Talent Acquisition Capability Partner

Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.

As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.

Optum Rx is looking for an experienced, curious, and self-motivated individual to lead a team that will be responsible for the development of new products and services for the organization. Partnering with business stakeholders, data science teams and technology teams, you will build strong relationships with our internal stakeholders, acquiring knowledge of the business and driving strategic platform build.

You will join a team of product managers, product owners, data scientists, and analysts who are responsible for building the pricing platform for over $100 Billion of prescription drug spend in the US Market annually. The team bring integrity, experience and calmness to what is a mammoth business. We have thousands of US clients, each with thousands of FDA approved drug prices to be managed. We are using our predictive models to optimize millions of individual drug prices to ensure we deliver value for clients and ultimately people who are filling over 150 million prescriptions per year.

We are accountable to manage one of the most complex areas of UnitedHealth Group, one of the largest companies in the world. We have to bring initiative, innovative thinking and curiosity to constantly evolve in a highly regulated environment. The changes we make have impact the next day for millions of people in the US market.

Our team culture is built on trust. We give our team the space they need to deliver results and the environment to ensure they can have fun doing it.

Primary Responsibilities:

• Ability to lead cross-functional teams across product, engineering, and data science
• Optimize models for performance, scalability and efficiency
• Drives excellence and standardization across the data science team with a focus on skills development, training and career progression
• Provide strategic and technical direction aligned to analytic efforts around AI/ML
• Stay current on internal and external technological advances in AI and advanced analytics that can be applied to document processing
• Drive inclusion and diversity as part of enhancing continued development of a strong diverse team culture

You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.

Required Qualifications:

• Bachelor's degree (or higher) in engineering/relevant subject or equivalent experience
• Experience in Azure Cognitive Services
• Proficiency in Python (especially with libraries like NLTK, Scikit-Learn, Kera)
• Experience with NLP tasks (named entity recognition, text classification, table extraction, Jaccard and Cosine models, RAG)
• Familiarity with REST APIs and microservices
• Experience with version control (Git), Docker, and cloud platforms (AWS, Azure, GCP)

Preferred Qualifications:

• Experience with document OCR tools (Document Intelligence, Tesseract, Amazon Textract)
• Familiarity with CI/CD pipelines and MLOps practices

Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.

All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace Optum Services (Ireland) Limited. All rights reserved.

Oliver James have partnered with a leading Financial Services client who are seeking an AI Engineer to join their rapidly growing team on an initial 6 month day-rate basis.

The Role

• Design and develop AI/ML models and scalable solutions using LLMs, NLP, and deep learning
• Fine-tune prompts and models to align with user needs and business goals
• Integrate AI into enterprise systems and workflows
• Lead data workflows, deployment, testing, and support for production-ready AI
• Collaborate across teams on product design, prototyping, and continuous optimisation
• Contribute to strategy, documentation, and market research.

Experience Required

• 3-5 years of hands-on experience in AI/ML, Python, and frameworks like TensorFlow or PyTorch
• Strong cloud knowledge (Azure, AWS, or GCP) and experience with Kubernetes, Helm, Docker
• Experience building ML pipelines, deploying LLMs, and working with large-scale data
• Solid computer science background in algorithms and software design
• Excellent communication, problem-solving skills, and business awareness.

Details

• 6 month rolling contract
• Hybrid working model (weekly onsite required)
• Rate – DOE

Apply Now