Senior Lead Software Engineer, Agentic AI SRE Platform

What you'll do

• Architect and develop production-grade autonomous agents that reason and act across telemetry pipelines and cloud infrastructure.
• Design agentic system components including orchestration, memory management, workflow control, and human-in-the-loop patterns.
• Manage non-functional requirements for AI systems, including observability, security, guardrails, and evaluation.
• Provision and manage scalable AI infrastructure, deployment pipelines, and cost optimization strategies.
• Develop high-quality production code while reviewing and debugging code written by other engineers.
• Identify and automate the remediation of recurring issues to improve overall system operational stability.
• Lead technical evaluations with external vendors and internal teams to assess architectural designs and tool applicability.

What we're looking for

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Advanced proficiency in programming with Python.
• Proficiency in all aspects of the Software Development Life Cycle, automation, and continuous delivery methods.
• Hands-on experience delivering agentic AI to production beyond simple LLM wrappers or prompt-to-workflow integrations.
• Experience with AI agent frameworks, runtimes, orchestration, evaluation/benchmarking systems, and model selection policies.
• Experience developing production generative AI applications at scale including RAG, vector search, and model quality measurement.
• Strong cloud infrastructure experience (e.g., AWS) and infrastructure-as-code (e.g., Terraform).
• Experience building distributed or high-scale systems where reliability matters; experience in SRE domains is preferred.