WHO WE ARE

Cadmus is a technology-empowered strategic consulting firm with more than 1,300 experts dedicated to serving government, commercial, and non-governmental organizations worldwide. We help our clients achieve their goals and drive lasting, impactful changes by leveraging transformative digital solutions and unparalleled expertise across domains.
At Cadmus, we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. As a member of our team, you’ll collaborate with leading experts to support our clients across the globe. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and ample opportunities for professional growth.
Join Cadmus. Together, we are strengthening society and the natural world. For more information, visit www.cadmusgroup.com.

Responsibilities:

• Work with cross-functional team members to understand business needs and develop AI/ML solutions incorporating generative AI technologies.
• Design scalable AI/ML systems, implement, and deploy GenAI applications including large language models, multimodal AI systems, and retrieval-augmented generation (RAG) architectures for enterprise knowledge management and chatbot applications.
• Develop multi-agent AI systems using frameworks such as Langgraph with coordinated complex agent interactions.
• Participate in code reviews and establish coding best practices for developing and maintaining clean, efficient, and well-documented Python code.
• Drive end-to-end model development lifecycle from research to production deployment for both traditional ML and GenAI workflows.
• Lead fine-tuning initiatives for large language models and establish evaluation frameworks for model performance assessment and improvement.
• Collaborate with stakeholders to define technical roadmaps and project timelines.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or related field.
• 4-6 years of hands-on experience in AI/ML engineering with multiple production-level GenAI projects and proven track record of leading technical initiatives.
• Proficiency in Python and experience building scalable backend services with frameworks such as FastAPI.
• Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services including compute services, SDKs, and data storage solutions.
• Experience using Large Language Models along with related tools, libraries and frameworks, and strong expertise in using vector databases and embedding technologies.
• Experience with fine-tuning, evaluating, deploying and monitoring large language models.
• Experience using RAG (retrieval augmented generation) techniques to implement information retrieval.
• Experience implementing GenAI applications including chatbots and agentic workflows.
• Experience with MLOps and AI model lifecycle management including CI/CD pipelines.
• Exceptional analytical and problem-solving skills.
• Excellent communication and teamwork abilities with experience presenting to clients and other stakeholders.

NICE TO HAVE QUALIFICATIONS:

• Experience with Docker and Docker Compose and container orchestration (such as Kubernetes).
• Experience with model optimization, quantization, and deployment at scale.
• Publications, blogs or contributions to open-source AI/ML projects.

WHAT YOU’LL BE DOING

We are seeking an experienced AI/ML Engineer to join our team. As an AI/ML Engineer at Cadmus, you will support advanced AI projects that leverage both traditional machine learning and modern generative AI technologies using cloud-native services. Your primary responsibilities will involve architecting, designing, developing, deploying, and maintaining machine learning and AI models in production environments, with emphasis on integrating GenAI capabilities into scalable solutions. Position requires US Citizenship or Permanent Resident. Position can be US based Remote.

Responsibilities:

• Work with cross-functional team members to understand business needs and develop AI/ML solutions incorporating generative AI technologies.
• Design scalable AI/ML systems, implement, and deploy GenAI applications including large language models, multimodal AI systems, and retrieval-augmented generation (RAG) architectures for enterprise knowledge management and chatbot applications.
• Develop multi-agent AI systems using frameworks such as Langgraph with coordinated complex agent interactions.
• Participate in code reviews and establish coding best practices for developing and maintaining clean, efficient, and well-documented Python code.
• Drive end-to-end model development lifecycle from research to production deployment for both traditional ML and GenAI workflows.
• Lead fine-tuning initiatives for large language models and establish evaluation frameworks for model performance assessment and improvement.
• Collaborate with stakeholders to define technical roadmaps and project timelines