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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
Description
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