We are seeking a mid-level Applied AI Engineer with a strong focus on Agentic AI and Generative AI solutions. This role will support the design, development, and optimization of intelligent systems leveraging large language models (LLMs), agent frameworks, and cloud-based AI services.
The ideal candidate is hands-on, comfortable working across the AI development lifecycle, and experienced in building scalable, production-ready AI-driven applications. This is a fast-paced, consulting-oriented role supporting public sector initiatives.
Per our client contract, candidates must be U.S. Citizens and be able to obtain Public Trust Clearance
Responsibilities
Design, develop, and deploy agent-based AI systems using modern LLM frameworks
Implement and refine prompt engineering strategies for high-performing model outputs
Build and maintain Generative AI solutions using platforms such as AWS Bedrock or similar
Develop AI-driven applications and services using Python
Optimize model performance through inference tuning and optimization techniques
Conduct and support model fine-tuning and experimentation efforts
Collaborate with cross-functional teams to translate business needs into AI-enabled solutions
Ensure solutions meet performance, scalability, and security requirements in a public-sector environment
Document technical designs, workflows, and implementation approaches
Qualifications
3–5+ years of hands-on experience in software development, AI/ML engineering, or related field
Strong experience in:
Generative AI (GenAI) development
Prompt Engineering and LLM interaction patterns
Agent-based system development (Agentic AI)
Python programming
Familiarity with AI/ML platforms such as AWS Bedrock (preferred), Strands, or equivalent
Experience with:
Model inference optimization
Model fine-tuning techniques
Strong problem-solving skills and ability to work independently in a consulting environment
Preferred Qualifications
Experience working with public sector or government clients
Familiarity with responsible AI practices and model governance
Understanding of cloud-based AI architectures (AWS preferred)
Exposure to CI/CD pipelines and MLOps practices
Experience integrating AI capabilities into enterprise systems
Numbers & Facts
Location
Reston, VA
Skills
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
Cloud Computingunmatched
Consultingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cross-Functionalunmatched
Governmentunmatched
Modeling Languagesunmatched
Performance Modelingunmatched
Performance Tuning/Optimizationunmatched
Problem Solving Skillsunmatched
Product Lifecycleunmatched
Python Programming/Scripting Languageunmatched
Scalable System Developmentunmatched
Software Developmentunmatched
Technical Writingunmatched
Technical/Engineering Designunmatched
🎯
Be found by employers
5,500+ employers search our resume database daily. Add yours to get found by recruiters looking for candidates like you.
Level up your application
Professional resume templates
Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.