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# Senior AI Engineer

- **Company:** Inc. (rms)
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Amazon S3, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Software Deployment, Pinecone, Chatbots, Retrieval-Augmented Generation, AgentCore, Generative AI, Agentic-AI, Pgvector, Low Latency, CrewAI, Evaluation of Large Language Models, Cloudwatch, Api Gateway, Restful APIs, Network Server, OpenSearch, Agent2Agent Protocol
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/4e95c5e0-3a20-4b2b-9baf-3560fb9c947f

## About the Role

Work Mode: Onsite 5 days a week
Experience: 5 10 years overall, with 3+ years in GenAI / Agentic AI

Key Skills & Requirements:

 * Strong hands-on experience with Python, REST APIs, and AWS
 * Expertise in AWS Bedrock and Bedrock AgentCore
 * Experience building production-grade Conversational AI, Chatbots, AI Agents, and RAG pipelines
 * Knowledge of MCP Servers, A2A protocols, LangGraph, CrewAI, or Strands Agents
 * Hands-on experience with vector databases such as OpenSearch, Pinecone, pgvector, or Aurora
 * Strong understanding of AWS services: Lambda, API Gateway, ECS/EKS, DynamoDB, S3, IAM, and CloudWatch
 * Experience with LLM evaluation, observability, guardrails, and production deployment
 * Proven experience scaling AI applications for high concurrency and low latency

Additional Requirements:

 * Experience delivering production-grade GenAI applications
 * Strong communication, client-facing, and technical leadership skills
 * Must be based in or willing to relocate to Atlanta, GA
 * Valid US work authorization required