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Skills​/Workflow Engineer

Job in Frederick, Frederick County, Maryland, 21701, USA
Listing for: Peraton
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Required Qualifications

  • Minimum of 5+ years of experience with a Bachelor's degree, 3+ years with a Master's degree, or a PhD in Computer Science or related field
  • Experience with Software Engineering in professional/production environments
  • Strong Python proficiency; experience with workflow orchestration or automation frameworks
  • Understanding of LLM prompt engineering and chain-of-thought design
  • Experience with template engines and document generation
  • Strong UX sensibility — ability to design intuitive command interfaces
  • Experience with API integration and multi-service orchestration
  • Excellent documentation and communication skills
  • US Citizenship with the ability to obtain/maintain a Secret clearance
Preferred Qualifications
  • Familiarity with generative AI workflow frameworks and knowledge base systems
  • Experience with no-code/low-code workflow builders

Peraton Labs is seeking a workflow engineer to design and build the reusable analytical workflows and skill library to invoke complex, multi-step analyses through simple commands within a generative AI-powered analytical platform. This role translates analytical processes into automated, repeatable workflows that chain multiple generative AI workers and data sources together.

Key Responsibilities
  • Design and implement the skill libraries into domain-specific analytical commands
  • Build multi-step analytical workflows that orchestrate multiple generative AI
  • Design knowledge base templates for program-specific contexts that scope analytical capabilities to individual programs
  • Develop workflow templates for standardized deliverables
  • Implement workflow versioning, parameterization, and error handling
  • Build workflow testing and validation frameworks
  • Gather user feedback to iteratively improve skill designs and workflow efficiency
  • Document all skills and workflows for the knowledge base
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