Gridiron IT
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This range is provided by Gridiron IT. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$120,000.00/yr - $180,000.00/yr Direct message the job poster from Gridiron IT 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 AutoGen, CrewAI, LangChain, 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 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: AutoGen, CrewAI, LangChain, or ADK 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 Python: Advanced proficiency including async programming, testing frameworks RESTful API design and implementation AWS & Cloud: Lambda, ECS, S3, DynamoDB CloudWatch, IAM, security best practices Infrastructure as Code (CloudFormation/CDK) Code review and documentation Preferred Qualifications
Experience with additional frameworks (Semantic Kernel, Haystack, LlamaIndex) Knowledge of other cloud platforms (Azure OpenAI, Google Vertex AI) MLOps practices and containerization (Docker, Kubernetes) Seniority level
Mid‑Senior level Employment type
Full‑time Job function
Software Development and Professional Services Referrals increase your chances of interviewing at Gridiron IT by 2x Get notified about new Artificial Intelligence Engineer jobs in
Washington, DC . #J-18808-Ljbffr
$120,000.00/yr - $180,000.00/yr Direct message the job poster from Gridiron IT 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 AutoGen, CrewAI, LangChain, 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 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: AutoGen, CrewAI, LangChain, or ADK 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 Python: Advanced proficiency including async programming, testing frameworks RESTful API design and implementation AWS & Cloud: Lambda, ECS, S3, DynamoDB CloudWatch, IAM, security best practices Infrastructure as Code (CloudFormation/CDK) Code review and documentation Preferred Qualifications
Experience with additional frameworks (Semantic Kernel, Haystack, LlamaIndex) Knowledge of other cloud platforms (Azure OpenAI, Google Vertex AI) MLOps practices and containerization (Docker, Kubernetes) Seniority level
Mid‑Senior level Employment type
Full‑time Job function
Software Development and Professional Services Referrals increase your chances of interviewing at Gridiron IT by 2x Get notified about new Artificial Intelligence Engineer jobs in
Washington, DC . #J-18808-Ljbffr