AI Solutions Developer (Agentic AI Focus)

The Squires Group • ,

1d

About The Position

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.

Requirements

• 3–5+ years of hands-on experience in software development, AI/ML engineering, or related field
• Strong experience in Generative AI (GenAI) development
• Strong experience in Prompt Engineering and LLM interaction patterns
• Strong experience in Agent-based system development (Agentic AI)
• Strong experience in Python programming
• Familiarity with AI/ML platforms such as AWS Bedrock (preferred), Strands, or equivalent
• Experience with Model inference optimization
• Experience with Model fine-tuning techniques
• Strong problem-solving skills and ability to work independently in a consulting environment
• Must be U.S. Citizens
• Must be able to obtain Public Trust Clearance

Nice To Haves

• 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

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

Benefits

• Competitive pay
• Multi-year projects
• List of exciting clients
• Referral Program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed