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Junior Ai Prompt Engineer

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Before you apply
SalaryNo pay range posted
LocationWashington, District of Columbia, United States
Typefull-time
SeniorityEntry
DepartmentPrivacy & FOIA
Company size201–500 people
PostedOct 19, 2026 · 2w ago
Verified live2d ago
District of Columbia law requires most employers to post a pay range.
At a glanceSummarised by Seekless from the posting.
Bachelor's degree or equivalent combination of education and experience
Experience applying AI tools to solve business, operational, academic, or technical problems
Experience designing, testing, or refining prompts for Generative AI platforms
Strong analytical and problem-solving skills
Ability to gather requirements and translate business needs into practical solutions
Strong written and verbal communication skills
Ability to communicate effectively with both technical and non-technical audiences
Ability to work independently and collaboratively in a team environment
Experience with AI agents, chatbots, or conversational AI solutions
Exposure to APIs, scripting, software development, or low-code/no-code platforms
Experience identifying, documenting, or improving business processes
Experience supporting AI adoption, user training, or technology implementation efforts
Experience working in a federal government environment
Familiarity with prompt evaluation, output validation, and responsible AI practices
U.S. Citizenship
Skills
Generative AI
API
low-code/no-code platforms
About the role
TechOp Solutions is seeking a Junior AI Prompt Engineer to support the Department of Homeland Security, In this role, you will work directly with stakeholders to utilize Generative AI to develop and refine prompts, design AI-enabled workflows, and support the implementation of AI solutions that improve mission and business operations.
The ideal candidate is passionate about artificial intelligence, enjoys solving complex problems, and can translate business needs into practical AI-enabled solutions. Candidates may come from backgrounds such as workflow automation, business analysis, software development, process improvement, technical consulting, or AI implementation.
This role focuses on helping users adopt and apply AI technologies.
Responsibilities
Responsibilities
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Work with stakeholders to understand business processes, gather requirements, identify operational pain points, and evaluate opportunities for Generative AI adoption.
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Design, test, refine, and document reusable prompts and prompt workflows for approved large language model platforms.
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Develop and support AI-enabled workflows that improve operational efficiency and automate manual processes.
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Support demonstrations, training sessions, and user adoption activities that help stakeholders effectively leverage AI capabilities.
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Use approved AI platforms to assist stakeholders with research, summarization, reporting, analysis, and development of decision-support content.
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Evaluate and validate AI-generated outputs to ensure accuracy, reliability, and alignment with mission requirements.
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Research emerging AI capabilities and identify practical use cases that support mission objectives.
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Document AI use cases, workflows, findings, lessons learned, and recommendations.
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Collaborate with technical and operations teams to support deployment and integration efforts.
Requirements
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U.S. Citizenship.
•
Bachelor’s degree or equivalent combination of education and experience.
•
Experience applying AI tools to solve business, operational, academic, or technical problems.
•
Experience designing, testing, or refining prompts for Generative AI platforms.
•
Strong analytical and problem-solving skills.
•
Ability to gather requirements and translate business needs into practical solutions.
•
Strong written and verbal communication skills.
•
Ability to communicate effectively with both technical and non-technical audiences.
•
Ability to work independently and collaboratively in a team environment.
Preferred Qualifications
•
Experience with AI agents, chatbots, or conversational AI solutions.
•
Exposure to APIs, scripting, software development, or low-code/no-code platforms.
•
Experience identifying, documenting, or improving business processes.
•
Experience supporting AI adoption, user training, or technology implementation efforts.
•
Experience working in a federal government environment.
•
Familiarity with prompt evaluation, output validation, and responsible AI practices.