AI Solutions Developer (Agentic AI Focus)

The Squires Group

  • Reston, VA
  • 30+ days ago

    Highlights

    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.

    Numbers & Facts

    LocationReston, VA

    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

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