Generative AI Engineer

The MITRE Corporation

$121K — $182K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience in AI engineering or related field with Bachelor’s or Master’s degree in relevant disciplines.
  • Proficient in large language model (LLM) technology applications.
  • Experience in prototyping and developing AI systems and components.
  • Skilled in machine learning techniques for data and natural language processing.
  • Proficient in programming languages such as Java or Python.
  • Ability to independently learn new technologies and frameworks.
  • Excellent communication skills for technical and non-technical audiences.

Responsibilities

  • Develop and implement AI solutions in cross-functional teams.
  • Analyze and recommend innovative solutions for data and language processing needs.
  • Prototype AI systems based on operational workflow analysis.
  • Evaluate technology solutions and provide actionable recommendations.
  • Convey complex technical ideas to non-technical audiences through briefings.
  • Lead or contribute to team efforts in solving technical challenges with GenAI.
  • Utilize MITRE's Federal AI Sandbox and AI Platform for research and development.

Benefits

  • Hybrid work environment with a minimum of 50% on-site requirement.
  • Opportunities for professional development and continuous learning.
  • Access to cutting-edge AI technology and resources.
  • Ability to work in a dynamic and mission-focused environment.
Full Job Description
The Generative and Agentic AI Engineering Department works across the full range of US Government agencies to develop, engineer, and deploy advanced AI capabilities that address complex mission needs for our sponsors. Our department applies generative AI, agentic AI, and AI/ML research and engineering to operational challenges while researching, prototyping, and transitioning innovative technologies to support critical mission objectives for our sponsors. Our work spans generative AI applications, agentic AI system design, AI model fine-tuning and adaptation, knowledge representation and extraction, AI architectures, MLOps/LLMOps, and human language technology (HLT). The department maintains deep expertise in large language models, agentic AI, autonomous AI workflows and data processing pipelines, computational linguistics, knowledge graph construction, identity resolution and AI/GenAI evaluation.

Roles & Responsibilities:

The position involves researching, developing, evaluating, and integrating generative AI and agentic AI capabilities. Specific responsibilities will include:
  • Work in cross-functional teams to develop and implement AI solutions, including prototype implementation of capabilities that leverage generative AI, large language model technology and agentic AI capabilities
  • Analyze data and language processing needs and recommend innovative solutions that solve mission-critical problems
  • Prototype AI/GenAI systems or components based on analysis of workflow and operational mission needs and deliver prototype solutions into operational spaces/systems using real mission-relevant data
  • Evaluate technology solutions in the context of mission data and workflow needs, and provide actionable recommendations towards workable solutions for critical problems
  • Convey complex ideas to non-technical audiences through briefings and/or white papers
  • Lead or contribute to small teams to solve technical challenges by applying GenAI capabilities
  • Leverage MITRE's Federal AI Sandbox (NVIDIA DGX SuperPod hardware) and AI Platform to support research, development and evaluation of generative AI capabilities


Basic Qualifications:
  • Requires a minimum of 2 years of related experience with a Bachelor's degree in computer science, engineering, computational linguistics, or related disciplines; or a Master's degree; or equivalent combination of related education and work experience.
  • Demonstrated recent experience with large language model (LLM) technology applications in R&D or operational settings
  • Demonstrated experience in prototyping/developing AI components/systems that align with department capabilities (as described above)
  • Ability to apply state-of-the-art machine learning techniques to data and natural language processing challenges
  • Experience with programming languages such as Java or Python
  • Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems
  • Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences
  • Ability and willingness to obtain and maintain a DOD Secret clearance within 12 months from the date of hire
  • Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance
  • This position requires a minimum of 50% hybrid on-site


Preferred Qualifications:
  • Advanced degree in computer science, engineering, computational linguistics, or related disciplines
  • Track-record of successful deployment of agentic, generative, and HLT systems or components that have been used by customers or stakeholders outside of a lab/experimental setting
  • Active DOD security clearance


This requisition requires the candidate to have a minimum of the following clearance(s):
None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Secret

Salary compensation range and midpoint:
$121,600 - $152,000 - $182,400 Annual

Work Location Type:
Hybrid

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Benefits information may be found here.

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