AI Engineer

July 30

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Compliance & Risks

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Compliance & Risks helps companies unlock market access by simplifying the world of product compliance. Our software, regulatory content and team of subject matter experts provide the most comprehensive market access solutions in the world.

51 - 200 employees

💰 Private Equity Round on 2021-07

📋 Description

• 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. • 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. • 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. • 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. • 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 - 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/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.).