Peraton Labs is seeking a senior engineer to serve as the technical lead for the multi-agent generative AI orchestration layer that powers an advanced analytical platform. This role owns the architecture governing how multiple LLM-based worker agents are spawned routed coordinated and managed across diverse analytical tasks. The Senior LLM/AI Platform Engineer ensures that the platforms generative AI backbone is reliable performant and extensible as new worker types and capabilities are introduced.
Key Responsibilities
Architect and maintain the multi-agent orchestration framework including worker spawning conversation history isolation context management and inter-worker coordination
Design and implement token optimization strategies including context window management conversation summarization and efficient prompt construction
Own the model routing layer that directs tasks to appropriate model tiers based on task complexity and user configuration
Develop and refine prompt engineering patterns for worker agents to ensure consistent high-quality analytical outputs
Establish evaluation frameworks to measure generative AI output quality accuracy and reliability across worker types
Lead the design of new worker types to support program management capabilities (cost analysis workers risk analysis workers data fusion workers)
Collaborate with PM Domain Analysts to translate program management requirements into generative AI agent behaviors
Mentor junior LLM/AI Platform Engineers and establish engineering standards for generative AI development
Qualifications
Required Qualifications
Minimum of 8 years of experience with a Bachelors degree 6 years with a Masters degree or 3 years with a PhD in Computer Science AI/ML or related field
Deep experience with large language model architectures fine-tuning and inference optimization
Proficiency in Python; experience with LLM frameworks (LangChain LlamaIndex or equivalent)
Strong understanding of prompt engineering retrieval-augmented generation (RAG) and agent-based architectures
Experience with vector databases and embedding models
Demonstrated ability to architect complex multi-component generative AI systems
US Citizenship with the ability to obtain/maintain a Secret clearance
Preferred Qualifications
Experience with multi-agent systems or autonomous agent frameworks
Familiarity with government/defense program management concepts
Experience with model evaluation and red-teaming methodologies
Knowledge of FedRAMP or DoD cloud security requirements
7 years of software engineering experience with 3 years focused on LLM/NLP systems
Graduate degree in Computer Science AI/ML or related field is highly desired
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider we deliver trusted highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land sea space air and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day our employees do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$112000 - $179000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to the scope and responsibilities of the position the individuals experience education knowledge skills and competencies as well as geographic location and business and contract considerations. Depending on the position employees may be eligible for overtime shift differential and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.
Required Experience:
Senior IC
ResponsibilitiesPeraton Labs is seeking a senior engineer to serve as the technical lead for the multi-agent generative AI orchestration layer that powers an advanced analytical platform. This role owns the architecture governing how multiple LLM-based worker agents are spawned routed coordinated an...
Responsibilities
Peraton Labs is seeking a senior engineer to serve as the technical lead for the multi-agent generative AI orchestration layer that powers an advanced analytical platform. This role owns the architecture governing how multiple LLM-based worker agents are spawned routed coordinated and managed across diverse analytical tasks. The Senior LLM/AI Platform Engineer ensures that the platforms generative AI backbone is reliable performant and extensible as new worker types and capabilities are introduced.
Key Responsibilities
Architect and maintain the multi-agent orchestration framework including worker spawning conversation history isolation context management and inter-worker coordination
Design and implement token optimization strategies including context window management conversation summarization and efficient prompt construction
Own the model routing layer that directs tasks to appropriate model tiers based on task complexity and user configuration
Develop and refine prompt engineering patterns for worker agents to ensure consistent high-quality analytical outputs
Establish evaluation frameworks to measure generative AI output quality accuracy and reliability across worker types
Lead the design of new worker types to support program management capabilities (cost analysis workers risk analysis workers data fusion workers)
Collaborate with PM Domain Analysts to translate program management requirements into generative AI agent behaviors
Mentor junior LLM/AI Platform Engineers and establish engineering standards for generative AI development
Qualifications
Required Qualifications
Minimum of 8 years of experience with a Bachelors degree 6 years with a Masters degree or 3 years with a PhD in Computer Science AI/ML or related field
Deep experience with large language model architectures fine-tuning and inference optimization
Proficiency in Python; experience with LLM frameworks (LangChain LlamaIndex or equivalent)
Strong understanding of prompt engineering retrieval-augmented generation (RAG) and agent-based architectures
Experience with vector databases and embedding models
Demonstrated ability to architect complex multi-component generative AI systems
US Citizenship with the ability to obtain/maintain a Secret clearance
Preferred Qualifications
Experience with multi-agent systems or autonomous agent frameworks
Familiarity with government/defense program management concepts
Experience with model evaluation and red-teaming methodologies
Knowledge of FedRAMP or DoD cloud security requirements
7 years of software engineering experience with 3 years focused on LLM/NLP systems
Graduate degree in Computer Science AI/ML or related field is highly desired
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider we deliver trusted highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land sea space air and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day our employees do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$112000 - $179000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to the scope and responsibilities of the position the individuals experience education knowledge skills and competencies as well as geographic location and business and contract considerations. Depending on the position employees may be eligible for overtime shift differential and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.
Peraton provides innovative solutions for the most sensitive and critical programs in government today, developed and executed by scientists, engineers, and other experts.
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