Senior Machine Learning Engineer Agentic Workflow

What we're looking for

• Bachelor’s or master’s degree in computer science, Engineering, or related field.
• 6+ years of experience in software engineering, ML engineering, or platform engineering.
• Strong proficiency in writing production-grade Python, and experience with Claude Code or Cursor.
• Hands-on experience with LLM-based systems, including:

  • LangChain / LangGraph
  • MCP
  • Langsmith
  • Claude or comparable frontier models
  • AWS AgentCore or comparable agentic frameworks
• Solid understanding of RAG architectures, embeddings, and vector search.
• Experience designing and consuming APIs (REST and/or async/event-driven).
• Strong cloud engineering experience on AWS.
• Knowledge of how to fine-tune frontier models to specific domain knowledge
• Experience with distillation, quantization and small language models is a plus
• Experience deploying traditional machine learning models into production environments using MLOps tools and best practices.
• Knowledge of distributed systems, large-scale model optimization, and API development.
• Exceptional ability to work on a team – especially a dynamic, innovative “tiger team” developing early stage PoC systems.
• Strong understanding of container orchestration and cloud-native application design.
• Ability to work in dynamic environments, handling rapid experimentation and iterative development.