Senior AI/ML Engineer, Applications & Automation

📋 Description

• Develop machine learning models, agents, and automation workflows for terminology management
• Build agentic workflows that use LLMs, tools, APIs, knowledge sources, retrieval capabilities, and
• Build and maintain retrieval-augmented generation solutions, vector and semantic search
• Partner with our data science team to understand, integrate, and productionize their existing
• Own the deployment, monitoring, troubleshooting, and continuous improvement of AI workflows in
• Design evaluation, testing, and observability practices for AI systems, and implement controls for

🎯 Requirements

• 5+ years across AI/ML engineering, data science, machine learning engineering, or related
• Hands-on experience building agents and agentic workflows, including orchestration and tool or
• Hands-on experience building RAG solutions, including embeddings, vector databases, semantic
• Hands-on MLOps experience taking models and agents into production — deployment, versioning
• Strong Python proficiency and experience developing maintainable services, APIs, pipelines, or
• Experience with cloud-based AI infrastructure, preferably AWS and Amazon Bedrock.