AI Engineer

Job Title: AI Engineer (Mid-Level)Reports to: Head of AILocation: Ireland - RemoteThe ChallengeAre you passionate about using AI to solve real-world problems? Do you want to help global companies navigate complex regulatory landscapes by building intelligent, automated solutions? We're looking for a motivated AI Engineer to join our team and contribute to transforming traditional compliance processes into innovative, AI-powered systems. Overall ResponsibilityAs an AI Engineer, you will apply cutting-edge AI technologies to address practical compliance challenges.

You'll work within a collaborative team dedicated to developing AI-powered solutions that help global enterprises understand, manage, and automate their compliance processes across various markets and jurisdictions. Core Responsibilities: Product Development & Innovation: Contribute to identifying and implementing opportunities where AI can create value for our customers in their compliance journey. Assist in the design and development of production-grade AI solutions that automate compliance tasks. Develop and optimize NLP models for regulatory document analysis and interpretation. Contribute to the framing of compliance challenges as machine learning problems. Support the creation of scalable AI systems that can handle diverse regulatory requirements.

Technical Contributions: Help take algorithms from proof-of-concept to production, focusing on robustness and maintainability. Contribute to establishing processes for data analysis, model development, validation, and deployment. Support the building and maintenance of ML infrastructure. Assist in implementing monitoring systems to track model performance. Learn and apply best practices for explainability and ethical considerations in AI solutions. Cross-functional Collaboration: Work closely with product managers and compliance experts to understand requirements and translate them into technical solutions. Collaborate with engineering teams to integrate AI capabilities into our core platform. Contribute to technical documentation and knowledge sharing.

Participate in technical discussions and problem-solving. Key Skills that we are looking for: 2 - 5 years of hands-on experience in production environments, with a track record of contributing to distributed systems. Proficient in Python with experience in developing and deploying software, utilizing machine learning frameworks such as TensorFlow, PyTorch, etc. Foundational understanding of engineering and infrastructure best practices with a focus on the machine learning software development lifecycle. Experience working with modern deep learning techniques, LLMs, and NLP architectures, particularly in building data-intensive applications.

Hands-on experience in developing and managing batch and real-time ML pipelines/workflows for processing complex data on AWS, utilizing services like SageMaker, ECS, EKS, or Airflow. Some working knowledge on building, fine-tuning, and optimizing Large Language Models (LLMs), transformer architectures, and advanced NLP systems, leveraging frameworks like Hugging Face Transformers and OpenAI API/SDKsProficiency in designing, iterating, and optimizing prompts for large language models to ensure reliable, structured, and contextually accurate outputs across different tasks and model providers. Good communication skills, with the ability to collaborate effectively within engineering teams and across various disciplines.

Experience implementing observability practices for large language model workflows, including tracing, token usage monitoring, structured output validation, and performance/debugging tools such as LangSmith or equivalent. Run structured evaluations using tools like LangSmith, Evals, or custom frameworks. Analyze precision/recall, hallucination rates, response consistency. Develop test cases for key use cases (e. g. , regulation matching, summarization, Q&A, etc. ). About us: Compliance & Risks provides global companies with the tools, insights, and expertise to build safe, sustainable products.

With two decades of experience, we help monitor, assess, and prove compliance, protecting your brand and driving growth in an evolving regulatory landscape. The company serves over 320+ global enterprise customers including: GE, Google, Nike, Amazon, Bose, Tesla, Vaillant, Unisys, Samsung and Fujitsu. We take pride in what we buildWe are a product company. We understand the impact our product has on the world and for our company. We watch it iterate, evolve, grow.

We can easily connect the code we write to the problems we are solving for companies who are trying to build and sell their products in the global market. Whether it’s a hoodie, a car or a laptop, we can see our code helping to get that product to the high street. We take pride in how we buildOur self organizing teams make the decisions in how they architect, implement and deliver the code that they write.

We support the decisions they bring, and trust our teams to present the options that make most sense for the company, the team and for the growth of the individuals. We are a diverse team in Compliance & Risks and we are committed to building and promoting an inclusive place to work for everyone. We strive to attract and retain a diverse range of people into our organization. We aim to increase the diversity of our employee base by growing our diverse talent pipeline, including partnerships with organizations like Resilient Coders, Women who code, Women in Tech.

We are committed to equality of opportunity for all employees, by promoting a work environment free from bullying, discrimination or harassment. Compliance & Risks is an equal opportunities employer.