Senior Machine Learning Engineer (LLMs - Agentic Workflows)

📋 Description

• Architect how the agent breaks down complex user requests into sub-tasks.
• Develop "Plan-and-Execute" or "ReAct" patterns where the model thinks before it acts.
• Design robust systems to maintain short-term memory across long-running tasks.
• Create the interface between the LLM and external software, databases, or APIs.
• Standardize how the agent calls functions, interacts with legacy systems, or executes Python code in a sandboxed environment.
• Implement error-handling and self-correction.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of hands-on experience developing and deploying machine learning models in production environments.
• Strong software engineering fundamentals, including data structures, algorithms, system design, OOP, and API design & integration.
• Proven experience designing and implementing agentic architectures, including multi-agent workflows, tool-calling, state management, and human-in-the-loop patterns.
• Expertise in integrating Generative AI frameworks and APIs (LangChain, LangGraph, OpenAI, and Claude) into production-grade applications.
• Strong understanding of LLM fundamentals, systematic prompt engineering (chain-of-thought, few-shot), and debugging tools like LangSmith or Arize Phoenix.

🎁 Benefits

• Ownership through equity participation.
• Annual company retreat.
• Education bonus for continuous learning.
• Company-wide winter break.
• Paid time off.
• Optional in-person events and meetups.