AgenticAI Software Engineer
Required Experience
- • 5+ years of professional software engineering experience, with a strong backend or systems background.
- • Proven experience building LLM-powered applications beyond prototypes.
- • Hands-on experience designing and implementing agentic systems, including agents, workflows, MCP-based tool integration, and RAG.
- • Strong proficiency in Python (or similar agent-oriented languages) and experience building production APIs or services.
- Experience designing systems with observability, evaluation, and operational ownership in mind.
Domain / Problem Space
- You will work on agentic systems in the context of:
- • Experience with internal developer portals like Backstage with associated patterns like GitOps, API-driven microservices, paved paths, and more
- • Experience with design patterns in Kubernetes like controllers, control planes, operators, and more
- • Work on container orchestration, infrastructure as code (IaC), and CI/CD pipelines for deploying and managing k8s instances.
- • Monitor the performance of developer platform, identify potential issues, and ensure high availability of the platform.
- • Using Infrastructure As Code (IAC) best practices, create automated infrastructure within the cloud and on-premise platform, including package management, application load and configuration, and systems monitoring and administration.
- • Deliver improvements to source code management, deployment, operations, maintenance, cost control, security, monitoring, and audit tools and processes.
- • Implement and maintain CI/CD tools and processes to support development, QA, and customer value realization teams.
- • Manage a service critical codebase with version control using Git including Gitlab, or Github
- • These domains require agents that operate on real, evolving data, integrate deeply
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