Senior Agentic AI Developer Security Clearance

Position: Senior Agentic AI Developer with Security Clearance
Role

Description:

We are seeking an experienced Senior Agentic AI Developer to design and deploy sophisticated agentic AI workflows and applications. This role requires full-stack development expertise, generative AI proficiency, and cloud engineering experience to architect autonomous AI systems using cutting-edge frameworks.

Key Responsibilities:

Design and implement agentic AI workflows using Auto Gen, CrewAI, Lang Chain, or an Agent Development Kit (ADK)
Integrate Model Context Protocol (MCP) for seamless AI-system communication
Develop, test, and refine advanced prompts using systematic engineering methodologies
Build full-stack generative AI applications on AWS Bedrock
Develop Python backend services and React front-end interfaces
Design scalable cloud architectures leveraging AWS services
Implement CI/CD pipelines for AI deployment and monitoring

Required Qualifications

Experience:

8+ years professional technical/software development experience
1-2 years hands-on AI/ML development experience
1+ year production experience with AWS Bedrock and cloud services
2+ years Python programming experience
2+ years Front-end development experience with React
Technical

Skills:

Agentic AI Frameworks:
Auto Gen, CrewAI, Lang Chain, or ADK
Model Context Protocol (MCP) implementation
Retrieval-Augmented Generation (RAG) architectures
GenAI & Prompt Engineering:
Advanced prompt design and optimization
Systematic testing and evaluation methodologies
Deep understanding of LLMs and their capabilities
Programming:
Python:
Advanced proficiency including async programming, testing frameworks
React:
Component development, state management, hooks
RESTful API design and implementation AWS & Cloud:
Amazon Bedrock (Claude, Titan, Llama models)
Lambda, ECS, S3, DynamoDB
Cloud Watch, IAM, security best practices
Infrastructure as Code (Cloud Formation/CDK)
Development Practices:
Agile/Scrum, test-driven development
CI/CD pipeline implementation
Code review and documentation

Preferred Qualifications:

Experience with additional frameworks (Semantic Kernel, Haystack, Llama Index)
Knowledge of other cloud platforms (Azure OpenAI, Google Vertex AI)
MLOps practices and containerization (Docker, Kubernetes)
Open-source AI contributions Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Top Secret Required
Compensation and Benefits Salary Range: $130,000-$140,000 (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.)
Benefits:
Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron’s benefits programs. Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status.

Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications.

These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.