Staff Applied ML Engineer

Skills

About the Role

You will build production LLM applications, AI agents, and agentic workflows. You will own model evaluation, fine-tuning, adaptation, retrieval, inference, and experimentation pipelines. You will translate mission requirements into production AI capabilities and turn deployment-specific solutions into reusable platform capabilities.

Requirements

• Significant experience building and deploying ML or AI systems in production
• Hands-on experience with modern LLMs and foundation models
• Expertise in several areas including LLM fine-tuning, model adaptation, model evaluation, RAG, retrieval systems, agentic systems, tool use, model serving, inference, embeddings, knowledge retrieval, synthetic data, guardrails, or AI reliability
• Ability to work between ML experimentation and production engineering
• U.S. citizenship
• Active Secret or Top-Secret Security Clearance

Responsibilities

• Build production LLM-powered applications, AI agents, and agentic workflows
• Develop and own model evaluation, fine-tuning, adaptation, and experimentation pipelines
• Select prompting, RAG, fine-tuning, specialized models, or combined approaches
• Build evaluation systems for model and agent quality, reliability, tool use, and task completion
• Develop retrieval and context systems across structured and unstructured mission data
• Optimize models and inference for production environments
• Deploy and improve models using real-world performance and user feedback
• Translate mission requirements into production AI capabilities with Forward Deployed Engineers and customers
• Turn individual deployment solutions into reusable platform capabilities