Senior AI Engineer

Inc. (rms)
Atlanta, GA, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+12 more
Generative AI Agentic-AI Pgvector Low Latency CrewAI Evaluation of Large Language Models Cloudwatch Api Gateway Restful APIs Network Server OpenSearch Agent2Agent Protocol

Requirements

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

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