Overview

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

4 Reasons to Join The Squires Group, Inc.:

1. Our Commitment to You - We offer competitive pay, multi-year projects, and a list of exciting clients.2. Work-Life Balance - We work hard; we work smart and have quality time for family and "life." 3. Golden Rule - We treat our consultants the way we want to be treated: with integrity, professionalism, and trust.4. We Care About You – We help you meet your career goals and continuously support your efforts in the field.

Check out our Referral Program!The Squires Group will pay you for every qualified professional that you refer and we place. If you see a position posted by The Squires Group and know the perfect person for the job, please send us your referral. For more information, go to https://bit.ly/squiresreferral.

The Squires Group, Inc. is an Equal Opportunity/Affirmative Action Employer.

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