Senior Agentic Software EngineerLocation: Charlotte, NC (3-4x onsite a week)Duration: 5+ Months Contract to hireClient: SiemensVideo InterviewsSubmission Requirements:Need Genuine LinkedIn- NO RECENT OR MULTIPLE LINKEDINMust have full educational details with University Name and year of completion in resume.WITHOUT ABOVE MENTIONED PREREQUISITE RESUME WILL BE DEEMED AS FAKE.Job Description:We are seeking a Senior Agentic Software Engineer to design, build, and operate production-grade AI agent systems that augment and automate real business workflows.What You’ll Do:Design, build, and operate agentic systems that reliably complete real tasks, not just answer questions.Architect agents that support planning, memory, tool use, and multi-step execution, selecting appropriate patterns based on problem constraints and risk.Balance autonomy with control by designing agents that are predictable, debuggable, secure, and aligned with business goals.Build agents using modern frameworks, implementing structured outputs, tool-calling, reflection, and state management.Design and implement MCP- and/or RAG-based integrations as first-class mechanisms for how agents access tools, data, and context.Enforce security, consent, access control, and observability across all agent–tool interactions, partnering with platform teams to establish and evolve MCP integration standards.Integrate agentic systems into existing services and platforms via APIs and backend services, owning production readiness end-to-end.Define what “good” looks like for agents using clear metrics and use those metrics to drive continuous improvement.Build automated evaluation pipelines and instrument agents with tracing, logging, and observability to support debugging and iteration in production.Design fallback, recovery, and human-escalation mechanisms for failure scenarios, proactively identifying and mitigating failure modes.Establish architectural standards and best practices for agentic development, raising the technical bar through design reviews, documentation, mentorship, and knowledge sharing.Partner with product and domain stakeholders to shape solutions, make informed trade-offs, and ensure agentic systems deliver meaningful business impact.Domain / Problem Space: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 GithubThese domains require agents that operate on real, evolving data, integrate deeply with existing systems, and meet a high bar for correctness, traceability, and user trust.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.