Location: Ireland / UK – Remote, may consider applicants from elsewhere in EuropeAbout Us:Compliance & Risks is the leading provider of market access and product compliance SaaS solutions and is recognized as the leading end-to-end global product compliance solution provider across the technology, consumer goods and retail, industrial goods and life sciences sectors. The company’s market leading SaaS platform, C2P, enables uninterrupted market access for enterprises selling products globally by monitoring and managing key product requirements, regulations and standards in their chosen markets. The C2P platform provides the world’s most comprehensive database of legislative information, insights and actions, linked to product workflows, to help clients bring products to markets faster with lower risk and ensure ongoing compliance.The company serves over 220+ global enterprise customers including: GE, Google, Nike, Amazon, Ikea, Bose, Tesla, Vaillant, Unisys, Samsung and Fujitsu.Our Values:All employees should continually promote legacy of Company Culture through demonstrating its values – 1. Trust 2. Respect 3. Winning Together 4. InnovationCompliance & Risks is an Equal Opportunities Employer.Purpose:The ChallengeWould you like to revolutionize how global companies navigate complex regulatory landscapes? Are you excited about building AI systems that transform traditional compliance processes into intelligent, automated solutions? We’re seeking a Senior AI Engineer to help us transition from traditional software-as-a-service to results-as-a-service in the compliance space.The OpportunityAs a Senior AI Engineer, you’ll be at the forefront of applying cutting-edge AI technologies to solve real-world compliance challenges. You’ll work with a team dedicated to building AI-powered solutions that help global enterprises understand, manage, and automate their compliance processes across multiple markets and jurisdictions.Responsibilities:Identify and implement opportunities where AI can create tangible value for our customers in their compliance journey.Design and develop production-grade AI solutions that automate complex compliance tasks.Build and optimize advanced NLP models for regulatory document analysis and interpretationContribute to finding the right ML framing of compliance challengesCreate scalable AI systems that can handle diverse regulatory requirements across different markets.Technical Leadership:Take algorithms from proof-of-concept to production, ensuring robustness and scalability.Establish processes for large-scale data analysis, model development, validation, and deployment.Build and maintain ML infrastructure that can evolve with our growing needs.Implement monitoring systems to track model performance and compliance accuracy.Ensure our AI solutions maintain high standards of explainability and ethical considerations.Cross-functional Collaboration:Work closely with product managers and compliance experts to translate business requirements into technical solutions.Partner with engineering teams to integrate AI capabilities into our core platform.Contribute to technical documentation and knowledge sharing.Participate in architecture discussions and technical decision-making.Requirements:5+ years of hands-on experience in production environments, with a strong industry track record of designing and architecting distributed systems.Proficient in Python with extensive experience in developing and deploying production-grade software, utilizing machine learning frameworks such as TensorFlow, PyTorch, etc.Deep understanding of engineering and infrastructure best practices with a focus on the machine learning software development lifecycle.Experience building, fine-tuning, and optimizing Large Language Models (LLMs), transformer architectures, and advanced NLP systems, leveraging frameworks like Hugging Face Transformers and OpenAI API/SDKsExtensive experience working with modern deep learning techniques, LLMs, and advanced NLP architectures building data intensive applicationsStrong familiarity with state-of-the-art agentic AI frameworks (including LangChain, AutoGen, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, and Google’s Agent Development Kit) and hands-on experience orchestrating complex, multi-agent workflows for autonomous, goal-driven applicationsExperience with techniques for optimizing ML inference performance.Hands-on expertise in designing, developing, and managing batch and real-time ML pipelines/workflows for processing complex structured and unstructured data on AWS, utilizing SageMaker, ECS, EKS, Airflow and related tools.Familiarity with LLMOps and observability tools (Langsmith, Opik, Ragas, Weights & Biases) for model monitoring, evaluation, and governanceExcellent communication skills, with the ability to collaborate effectively within engineering teams and across various disciplines.The Perks:A competitive salary, company bonus, health insurance, pension, wellbeing programmeAn exciting and dynamic role with career development opportunities and progressionThe opportunity to work with talented and diverse team in an inclusive work environmentA learning culture where continued learning & development is supported and encouragedRemote working options and a flexible environment that promotes wellness and work life balanceCompany Highlights:20-30% YoY revenue growth since 2017Top private equity sponsorship from Luminate Capital Partners70,000+ regulations and standards on the platformA marketing leading retention rate over 95%
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