Must Have Skills: AI Agents
Experience Required: 10 & Above
Role Descriptions:
Key Responsibilities-
Principal-Level Technical Ownership Act as technical owner and architect for AgentOps 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.
AgentOps 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| TigerGraph| JanusGraph| 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| DynamoDB| RDS| OpenSearch| 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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