Senior Agentic AI Engineer

The Job Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition. Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures. You 6+ years in software engineering, with 3+ years hands-on building production-grade AI/ML systems. Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain). Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration. Strong Python/TypeScript skills and experience in microservices and distributed infrastructure. Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines. Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP). Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques. Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices.