Applied ML Engineer — National Security (Clearance)

redcellpartners; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

14 weeks paid parental leave

Unlimited paid time off

Professional development opportunities

Retirement, flexible-spending and/or (

Equity programs

Job summary

redcellpartners is building and deploying applied AI systems for federal and national-security missions. The work spans model adaptation, retrieval, agents, evaluation, and inference, while staying close to users and the workflows the systems need to support.

Solutions should be adaptable across cloud, on-premises, and edge settings, and reusable across deployments. You will work closely with deployment engineers and customers to translate operational needs into AI capabilities, then turn

Qualifications

• Significant experience building and deploying ML/AI systems in production.
• Hands-on with modern language/foundation models; deep expertise in fine-tuning, evaluation, retrieval, agents, inference, embeddings, or reliability safeguards.
• Ability to move between experimentation and production engineering independently.

Responsibilities

• Build production applications powered by language models, including agents and multi-step workflows.
• Develop evaluation, fine-tuning, adaptation, and experimentation pipelines.
• Choose prompting, retrieval-augmented generation, fine-tuning, and specialized models based on the task.
• Measure model and agent quality, reliability, tool use, and task completion with rigorous evaluations.
• Create retrieval and context systems for mission data, and optimize models for production inference.
• Collaborate with deployment engineers and customers to translate needs into AI capabilities and reusable platform features.

Skills

Production ML systems

Foundation models

Fine-tuning & evaluation

Retrieval & agents

Independent problem solving

User-focused development

Tools

Evaluation pipelines

Job description

redcellpartners is building and deploying applied AI systems for federal and national-security missions. The work spans model adaptation, retrieval, agents, evaluation, and inference, while staying close to users and the workflows the systems need to support.

Solutions should be adaptable across cloud, on-premises, and edge settings, and reusable across deployments. You will work closely with deployment engineers and customers to translate operational needs into AI capabilities, then turn