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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Apply on www.dice.com
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