Machine Learning Engineer

Role overview

Responsibilities

• check_circle Design, develop, and deploy GenAI applications using LLMs.
• check_circle Build and implement agentic workflows using LangChain/LangGraph.
• check_circle Develop ML models and production-ready AI solutions.
• check_circle Implement and manage LLM memory and state management strategies.
• check_circle Optimize prompts, retrieval pipelines, and orchestration workflows.
• check_circle Collaborate with product and platform teams to deliver scalable AI solutions.
• check_circle Deploy, monitor, and maintain AI/ML systems in production environments.
• check_circle Evaluate and integrate open-source and proprietary LLMs.

Basic qualifications

• Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)
• Hands-on experience with LangChain and/or LangGraph.
• Solid understanding of LLM memory architecture and state management.
• Proficiency in Python and ML engineering best practices.

Preferred qualifications

• Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
• Experience deploying ML/GenAI systems in production environments.
• data scientist
• Can do ML model