Senior AI Systems Engineer – Enterprise & Platform Expert

Moring

Atlanta (GA)

On-site

USD 150,000 - 220,000

Full time

14 days+
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Job summary

Moring in Atlanta, GA is seeking a Senior AI Engineer who can bridge deep AI expertise with scalable platform engineering. You’ll own end-to-end AI capabilities, from model access to agent orchestration, while embedding your work with enterprise customers and security requirements.

You have 8–12 years in software, strong AWS, Python, and hands-on AI depth building agents, RAG pipelines, and LLm-powered features. Expect hands-on design reviews, client demos, and travel up to 30%.

Qualifications

  • 8-12 years of software engineering experience with cloud-native systems.
  • Deep AWS expertise: EKS/ECS, Lambda, IAM, networking, and IaC.
  • Strong Python and production engineering practices.
  • Experience with agent frameworks and major model APIs.
  • Practical understanding of LLM behavior and RAG retrieval.
  • Experience integrating with enterprise identity/SSO and security constraints.
  • Excellent client-facing communication skills.

Responsibilities

  • Build AI capabilities across product and platform layers.
  • Design, build, and ship agents, workflows, and LLM-powered features end-to-end.
  • Develop effective retrieval with chunking, embedding, vector search, and re-ranking.
  • Integrate models/tools via API providers and security controls.
  • Deploy in customer environments and embed with client teams.
  • Own AWS infrastructure for AI workloads and operate production systems.
  • Lead design reviews and guide engineers; mentor juniors.

Skills

AWS
Python
Distributed systems
Agent frameworks
LLM/AI engineering
SRE/observability
Security/compliance
Customer-facing

Tools

LangGraph
CrewAI
Anthropic API
OpenAI API
Bedrock API
Terraform
CDK

Job description

Moring in Atlanta, GA is seeking a Senior AI Engineer who can bridge deep AI expertise with scalable platform engineering. You’ll own end-to-end AI capabilities, from model access to agent orchestration, while embedding your work with enterprise customers and security requirements.

You have 8–12 years in software, strong AWS, Python, and hands-on AI depth building agents, RAG pipelines, and LLm-powered features. Expect hands-on design reviews, client demos, and travel up to 30%.

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