Staff Applied ML Engineer: Production AI for National Security

Fdetimes

Washington (District of Columbia)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Career track advancement
Health care for you and family
Paid parental leave
Unlimited PTO
Professional development
401K / equity incentives
Mental health benefits
GLP-1 solutions via Crux

Job summary

Red Cell Federal is seeking a Staff Applied ML Engineer to build and deploy production AI systems for federal and national security missions, working with LLMs, fine-tuning, and agentic workflows. You’ll collaborate with engineers and customers to translate mission needs into reliable software in real environments.

You will evaluate models, design retrieval systems, and optimize inference for production use, balancing experimentation with deployment and customer feedback.

Qualifications

  • Significant experience building ML or AI systems and deploying in production.
  • Hands-on experience with modern LLMs and foundation models.
  • Ability to move comfortably between ML experimentation and production engineering.

Responsibilities

  • Build production LLM-powered applications, AI agents, and agentic workflows.
  • Develop and own model evaluation, fine-tuning, adaptation, and experimentation pipelines.
  • Determine when to use prompting, RAG, fine-tuning, specialized models, or combinations of these approaches.
  • Build rigorous eval 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 based on real-world performance and user feedback.
  • Partner with FDEs and customers to translate mission requirements into production AI capabilities.
  • Turn solutions developed for individual deployments into reusable platform capabilities.

Skills

Production ML systems
LLMs
Foundation models
LLM fine-tuning
Model evaluation
RAG systems
Agentic systems
Model serving
Embeddings
Knowledge retrieval
Synthetic data
Guardrails
ML to production
Independent work
Customer-facing AI

Job description

Red Cell Federal is seeking a Staff Applied ML Engineer to build and deploy production AI systems for federal and national security missions, working with LLMs, fine-tuning, and agentic workflows. You’ll collaborate with engineers and customers to translate mission needs into reliable software in real environments.

You will evaluate models, design retrieval systems, and optimize inference for production use, balancing experimentation with deployment and customer feedback.

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