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Prinicipal AgentOps Engineer
Job in
Durham, Durham County, North Carolina, 27703, USA
Listed on 2026-06-03
Listing for:
Diverse Lynx
Full Time
position Listed on 2026-06-03
Job specializations:
-
Manufacturing / Production
Systems Engineer
Job Description & How to Apply Below
Role:
Prinicipal Agent Ops Engineer
Location:
Durham, NC - Onsite, if possible, else Remote
Duration: 6-12 months
Experience:
10 & Above
Rate: $70-75/hr(C2C)
Must Have
Skills:
AI Agents
Key Responsibilities-
- Principal-Level Technical Ownership Act as technical owner and architect for Agent Ops and AXIS platform components.
- Drive system design decisions across scalability| resilience| performance| and security.
- Evaluate tradeoffs and make high-impact architectural calls independently.
- Ensure platform designs align with long-term enterprise and AIAgent strategy.
- Agent Ops Agentic Systems Engineering
- Design and implement agentic workflows| orchestration| and lifecycle management.
- Extend and optimize Agentic frameworks (planning| memory| tool usage| coordination).Build guardrails for reliability| observability| and safe execution of autonomous agents.
- Improve agent runtime performance and operational stability at scale.
- Design and implement solutions using Graph Databases (e.g.| Neo4j| Neptune| Tiger Graph| Janus Graph| etc.).Integrate graph-based knowledge with agentic systems and platform services.
- Hands-on Engineering Platform Enablement Write and review production-grade code across critical services.
- Build and enhance platform capabilities| APIs| and internal tooling.
- Improve CICD pipelines| automation| and developer productivity tooling.
- Lead debugging and resolution of complex production issues.
- Cloud Operational Excellence (AWS)
- Architect and implement cloud-native solutions on AWS.
- Deep hands-on experience with AWS services (e.g.| EKS| ECS| Lambda| EC2| S3| Dynamo
DB| RDS| Open Search| IAM). - Ensure high availability| fault tolerance| and cost-efficient designs.
- Embed observability (logging| metrics| tracing) and operational best practices.
- Partner closely with Engineering Managers| Product| and Platform stakeholders.
- Mentor senior engineers and unblock teams as needed.
- Produce clear architecture docs| runbooks| and design artifacts.
- Ensure strong knowledge transfer before contract completion.
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