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Senior Machine Learning Engineer

Iron EagleX, Inc.
life insurance, paid holidays, 401(k)
Feb 19, 2025

Senior Machine Learning Engineer
Job Locations

US-VA-Crystal City


Job ID
2025-2573

Clearance Level
Top Secret SCI



Overview

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.



Responsibilities

Job Description:

Iron EagleX is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team in Crystal City, VA. The ideal candidate will specialize in AI-driven automation, prompt engineering, and machine learning model optimization to deliver innovative solutions to real-world challenges. This role requires expertise in large language models (LLMs), AI agent workflows, and the development of efficient AI solutions. The position is primarily on-site, with potential for hybrid work based on project needs.

Job Duties Include (but not limited to):

    Develop, optimize, and implement AI workflows with a strong focus on prompt engineering and automation.
  • Design and fine-tune machine learning models to enhance performance and effectiveness.
  • Research and apply best practices for large language model (LLM) utilization, including prompt orchestration and fine-tuning techniques.
  • Develop and integrate AI agents into data workflows, leveraging state-of-the-art frameworks.
  • Apply advanced prompt engineering techniques such as few-shot learning, chain-of-thought reasoning, self-consistency, and retrieval-augmented generation.
  • Utilize frameworks like LangChain and DSPy to design, test, and optimize prompts.
  • Address token limitations, cost trade-offs, and model-specific constraints across various LLMs (ChatGPT, Claude, Llama, Mistral, etc.).
  • Implement model fine-tuning methods, including soft prompting, adapters, and supervised fine-tuning.
  • Develop AI-driven automation workflows using agent-based architectures and frameworks such as LangGraph and OpenAI function calling.
  • Write, test, and maintain Python code for AI model development and integration.
  • Utilize version control systems (Git) to manage code changes and collaboration


Qualifications

Required Skills & Experience:

  • Minimum of 5 years of experience in machine learning, AI model development, or related fields.
  • Proficiency in prompt engineering and LLM optimization techniques.
  • Hands-on experience with frameworks such as LangChain, DSPy, and LangGraph.
  • Strong understanding of AI workflow automation and agent-based architectures.
  • Solid Python programming skills and experience with version control (Git).
  • Familiarity with Agile development methodologies.
  • Due to US Government Contract Requirements, only US Citizens are eligible for this role.

Desired Skills and Experience:

  • Master's, Ph.D, or coursework/certifications in a related field
  • Familiarity with reinforcement learning and other advanced ML techniques.
  • Experience deploying AI models in production environments.

Education & Certifications:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience). Advanced degrees are a plus.

Security Clearance:

  • An active TS/SCI security clearance is REQUIRED. Candidates without this clearance will not be considered.

Benefits:

  • National Health, vision and dental plans
  • 20 days of PTO and 11 paid holidays
  • Life Insurance
  • Short - and long-term disability plans
  • 401(K) retirement plans
  • Incentive and recognition programs
  • Relocation opportunities
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