AI/ML Engineer Jobs

Our client, a global AI and Data organisation, are hiring a Senior Full Stack Engineer to join their team in Dublin. The successful candidate will design, develop and maintain full-stack applications, including AI agent solutions, APIs and microservices, as well as implement real-time monitoring systems and deliver enterprise-grade solutions.


Responsibilities

• Design, build and maintain full-stack applications using Python (backend) and React.js (frontend).
• Contribute to technical direction and strategy across all development phases.
• Develop AI agent solutions, including orchestration, workflow management and decision-making systems.
• Implement APIs and microservices to support AI agent communications and data exchange.
• Create real-time features for agent monitoring, logging and performance tracking.
• Troubleshoot and resolve technical issues across the full stack.
• Write clean, secure and maintainable code.
• Uphold software quality standards and mentor team members.
• Operate in an agile/DevOps environment with CI/CD pipelines.
• Explore and leverage AI tools to enhance innovation, efficiency and quality across the software development lifecycle.

Skillset

• Bachelor’s or Master’s degree in Engineering or similar.
• Minimum 5 years of experience in application development and support.
• Proficient in Python with experience in frameworks such as FastAPI, Django or Flask.
• Advanced React.js skills, including hooks, Redux/Context API and TypeScript/JavaScript.
• Experience designing RESTful APIs and working with AI/ML libraries (e.g. LangChain, OpenAI API, Bedrock).
• Familiarity with cloud platforms (AWS, Azure, GCP), containerisation (Docker, Kubernetes) and infrastructure-as-code (Terraform/CDK).
• Strong grasp of algorithms, data structures and design patterns.
• Hands-on experience with CI/CD pipelines and automation.
• Excellent communication and collaboration skills.

Benefits

• Salary: €90k - €110k.

• Generous bonus.

• Private healthcare and Life assurance.

• Pension scheme.

• Flexible hybrid working model.

Interested? Contact kylec@alldus.com to learn more.


**Please Note** Applicants must have the right to work in the Republic of Ireland. Sponsorship is not offered by our client.

Our client, a growing Digital Transformation Consulting organisation, is hiring a Full Stack Engineer to join the team in Dublin, Ireland. The successful candidate will play a pivotal role in shaping and delivering modern applications, integrating AI-driven agents and enabling scalable cloud deployments within a fast-paced, innovation-led environment.


Responsibilities

• Design, develop and maintain full stack applications using Python and React.js.

• Build and integrate AI-powered features, including agent workflows and decision-making logic.

• Design and deliver RESTful APIs and microservices.

• Implement real-time monitoring, logging and performance tracking solutions.

• Identify, troubleshoot and resolve issues across the full stack.

• Work closely with product, design and engineering teams to deliver high-quality solutions.

• Write clean, secure and maintainable code in line with best practices.

• Contribute to Agile and DevOps processes, including CI/CD pipelines.

• Evaluate and adopt AI tools to enhance development efficiency.

Skillset

• Bachelor’s degree in engineering, computer science or similar.

• At least 3 years of proven experience in software development and application support.

• Strong expertise in Python, with experience in frameworks such as FastAPI, Django or Flask.

• Advanced proficiency in React.js, including hooks, state management and modern JavaScript/TypeScript.

• Demonstrated experience designing and building RESTful APIs.

• Practical experience working with AI/ML tools (e.g. LangChain, OpenAI API, Bedrock).

• Hands-on experience with Docker, Kubernetes and containerised environments.

• Experience using AWS or a similar cloud platform.

• Solid understanding of algorithms, design patterns and core computer science principles.

• Strong communication skills with the ability to collaborate effectively across teams.

Our client, an AI-driven organization impacting the ecommerce market, is hiring an experienced AI/ML Engineer to join their team in Los Angeles, California. The successful candidate will lead the design and implementation of AI verification pipelines, develop robust evaluation systems and deliver production-ready features impacting millions of users.


Responsibilities

• Lead the architecture and implementation of AI verification pipelines to ensure robust, reliable model performance.

• Design, build and maintain evaluation infrastructure for AI systems at scale.

• Develop production-ready AI features that are deployed to millions of users.

• Create reasoning systems that convert probabilistic AI outputs into deterministic, auditable recommendations.

• Collaborate with cross-functional teams to integrate AI-native products into broader platforms.

• Continuously monitor, test and improve AI systems to maintain performance, security and reliability.

Skillset

• Deep expertise in machine learning, AI verification and evaluation frameworks.

• Strong experience with probabilistic modeling, reasoning systems and knowledge graphs.

• Proficiency in Python and modern ML/AI libraries (e.g. TensorFlow, PyTorch, JAX).

• Experience building production-scale AI systems that serve millions of users.

• Strong understanding of software engineering principles: version control, CI/CD, testing, and deployment.

• Familiarity with adversarial testing, verification pipelines, and AI auditing.

• Experience in AI-native product design and implementation.

• Knowledge of cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.

• Research experience in AI interpretability, explainability or safety is a bonus.

Benefits

• Salary: $350k - $450k DOE.

Our client, an AI-driven organization in the Fintech industry, are hiring a Staff Machine Learning Engineer to join the team in Colorado. The successful candidate will will focus on building end-to-end generative AI products leveraging your deep expertise in large language models, fine-tuning techniques and reinforcement learning.


Responsibilities

• Design and build multi-agent systems that automate tasks and streamline workflows, delivering measurable operational impact.

• Develop AI co-pilots for advisors and other user personas, supporting workflows across prospecting, conversion, onboarding and client servicing.

• Create purpose-built, low-latency models for complex, multi-turn financial services interactions.

• Enable AI-driven optimisation and navigation of legacy platforms using computer-use and automation models.

• Design, fine-tune, and deploy open-source and proprietary LLMs for use cases including Q&A, summarisation, reasoning and planning.

• Build advanced Retrieval-Augmented Generation (RAG) pipelines, incorporating query rewriting, embedding fine-tuning, hybrid search, re-ranking and knowledge graphs.

• Apply reinforcement learning techniques, including RL fine-tuning methods such as PPO, DPO, and GRPO, to continuously improve model performance.

• Deploy models to production, ensuring high performance, reliability, scalability and low latency.

Skillset

• At least 5 years of experience in applied AI/ML engineering.

• Demonstrated success delivering production-grade generative AI products with large language models at their core.

• Hands-on experience with LLM fine-tuning techniques (e.g. LoRA), inference frameworks (e.g. vLLM) and advanced Retrieval-Augmented Generation (RAG) architectures.

• Strong practical expertise in reinforcement learning fine-tuning methods and supporting tooling.

• Previous experience working in an early-stage startup is a plus.

Benefits

• Salary: $170k - $220k DOE