Generative AI Engineer

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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 Super Pod 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…