Senior AI Agent Engineer

Architect and build autonomous, multi agent systems that decompose goals into action sequences and execute them with bounded autonomy. Develop RAG pipelines, tool calling, memory architectures, and orchestration layers that keep reasoning, retrieval, tool execution, and presentation cleanly separated. Integrate AI agents with enterprise platforms including ERP, CRM, HRMS, SCM, ITSM, document systems, databases, and internal or third party APIs. Design failure handling for hallucinations, infinite loops, tool failures, degraded retrieval, runaway costs, and rate limits with retry logic, fallbacks, and bounded execution. Build observability, monitoring, and cost/action ceilings so agents cannot operate unchecked, and failures are diagnosable without manual inspection. Create dashboards and reporting that connect AI performance to operational efficiency, productivity, and ROI. Train, fine tune, and deploy machine learning models where they serve as tools inside larger agentic systems. Design configurable, multi tenant platforms that adapt across use cases and clients through strong abstractions rather than one off rebuilds. Partner with product, business stakeholders, and engineering teams to convert manual processes into intelligent, autonomous workflows. Mentor AI engineers and developers, run code reviews, and ensure production ready delivery of AI solutions. Build feedback loops and evaluation harnesses so systems improve from real usage rather than degrade over time.