Principal Agentic AI Engineer (W2)

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.

Collaboration and Mentorship

• 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.