AI Engineer

• Be a key member of a growing team (data scientists, data engineers, AI engineers) that designs and implements artificial intelligence solutions in a production environment, leveraging a variety of AI tools and ML algorithms
• Design, build, maintain and deploy the infrastructure for AI-based solutions
• Integrate solutions with existing systems and applications. Responsible for MLOps and DevOps to ensure scalability, reliability, and security of these systems
• Implement automation tools and processes for Agent flows, RPA, GenAI, model training, testing, and deployment
• Build tools and capabilities for model management and model performance monitoring
• Collaborate effectively with the team and across cross-functional stakeholders
• Model a high-performance culture with critical thinking, problem-solving, learning, collaboration, and experimentation within the team

What you will bring

• Bachelor's degree completed in Computer Science, AI or a related field
• 3+ years of experience with AI, software engineering, MLOps, DevOps, or data engineering, in a professional role
• Experience with document intelligence, generative AI, agentic AI, automation, NLP and machine learning
• Experience with Azure DevOps, CI/CD, Terraform, Python and other scripting languages 
• Experience with integrating DevSecOps practices and principles throughout the project life cycle
• Experience with Big Data technologies, cloud-based analytics, non-relational datastores, data visualization tools, and open-source tools for data processing
• Experience with Agile methodologies (Scrum, Kanban) and project management tools such as Jira.
  • Travel required: Minimal (a couple of times a year)