Machine Learning Engineer (Senior Level)

Responsibilities

• Design, develop, and deploy complex agentic workflows and automation ecosystems.
• Securely expose internal systems as tools via MCP and engineer stateful multi-agent systems.
• Optimize Time-To-First-Token and Tokens/sec for inference on in-house multi-GPU nodes.
• Architect systems capable of handling thousands of concurrent requests.
• Design fault-tolerant systems that gracefully handle the unpredictability of LLMs.
• Spearhead the evaluation and testing of agentic workflows.
• Mentor junior engineers through thoughtful code reviews and design feedback.
• Maintain up-to-date knowledge of related MLOps and data science topics and technologies.
• Build and optimize data pipelines, ETL processes, and model-serving frameworks
• Model business requirements into structured software plans.

Languages