AI Engineer

Jul 29, 2025

About 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. Innovation

Compliance & Risks is an Equal Opportunities Employer.

Purpose:

The Challenge

Are 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 Responsibility

As 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.

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.

Requirements:

• 2+ 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/SDKs
• Proficiency 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.).

The Perks:

• A competitive salary, company bonus, health insurance, pension, wellbeing programme
• An exciting and dynamic role with career development opportunities and progression
• The opportunity to work with talented and diverse team in an inclusive work environment
• A learning culture where continued learning & development is supported and encouraged
• Remote working options and a flexible environment that promotes wellness and work life balance

Company Highlights:

• 20-30% YoY revenue growth since 2017
• Established global offices
• Top private equity sponsorship from Luminate Capital Partners
• 70,000+ regulations and standards on the platform
• A marketing leading retention rate over 95%

#CR