Principal AgentOps Engineer

Remote in Durham, NC, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Independent
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Principal AgentOps Engineer
  • Agentic Systems
  • AI Agents
  • distributed platforms
  • AgentOps platforms

Summary

Job Title: Principal AgentOps Engineer

Location: Durham, NC (Onsite Preferred / Remote Option Available)

Duration: 12+ Months

Experience Required: 10+ Years


Job Summary:

We are seeking a highly experienced Principal AgentOps Engineer with deep expertise in Agentic Systems, AI Agents, and distributed platforms. This role will drive architecture, design, and development of next-generation AgentOps platforms, integrating graph-based knowledge systems and cloud-native infrastructure.


Key Responsibilities:

<>Principal-Level Technical Ownership
  • Act as the technical owner and architect for AgentOps and platform components.
  • Drive architecture decisions across scalability, performance, resilience, and security.
  • Evaluate trade-offs and make high-impact design decisions independently.
  • Align platform design with long-term enterprise AI/Agent strategy.

<>AgentOps & Agentic Systems Engineering
  • Design and implement agent orchestration frameworks and workflows.
  • Develop agent lifecycle management, including planning, execution, and coordination.
  • Extend agent frameworks with capabilities such as memory, tool usage, and decision logic.
  • Build guardrails for reliability, observability, and safe execution of AI agents.
  • Optimize runtime performance and scalability of agent systems.

<>Graph Database Engineering
  • Design and implement solutions using graph databases such as:
    • Neo4j
    • Amazon Neptune
    • TigerGraph
    • JanusGraph
  • Perform graph data modeling and query optimization.
  • Integrate graph-based knowledge systems with agentic platforms and services.

<>Backend & Platform Engineering
  • Develop production-grade backend systems using Python.
  • Design and implement APIs and platform services.
  • Build internal tools and enhance platform capabilities.
  • Troubleshoot and resolve complex production issues.

<>Cloud & DevOps (AWS)
  • Architect and implement cloud-native solutions on AWS, including:
    • EKS, ECS, Lambda, EC2
    • S3, DynamoDB, RDS, OpenSearch, IAM
  • Ensure high availability, fault tolerance, and cost optimization.
  • Build and enhance CI/CD pipelines, automation, and developer tooling.
  • Implement observability solutions including logging, metrics, and tracing.

<>Distributed Systems & Performance
  • Design and optimize large-scale distributed systems.
  • Improve scalability, performance tuning, and system resilience.
  • Ensure operational stability at scale.

<>Leadership & Collaboration
  • Partner with Engineering, Product, and Platform teams.
  • Mentor senior engineers and provide technical guidance.
  • Produce architecture documents, runbooks, and design artifacts.
  • Ensure effective knowledge transfer and documentation.

Required Skills & Qualifications:

  • 10+ years of experience in backend engineering and distributed systems
  • Strong expertise in AgentOps / Agentic Systems / AI Agents (mandatory)
  • Deep knowledge of agent orchestration, planning, and execution frameworks
  • Hands-on experience with graph databases (Neo4j, Neptune, TigerGraph, or JanusGraph)
  • Expert-level Python development
  • Strong experience with AWS cloud architecture and services
  • Experience with CI/CD, DevOps practices, and observability tools
  • Proven ability to design scalable, resilient, and high-performance systems
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10488618
  • Position Id: 8949069
  • Posted 3 hours ago
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