Job Description Job Responsibilities: - Own the end-to-end architecture of agentic AI systems, from design decisions to production rollout and stabilization. - Define multi-agent system patterns for planning, execution, tool orchestration, memory management, and evaluation. - Establish architectural standards for reasoning workflows, prompt orchestration, and structured output enforcement. - Design and scale RAG architectures, including strategies for retrieval, grounding mechanisms, and data flow patterns. - Evaluate and select LLMs, agent frameworks, and orchestration tools based on performance, cost, and use-case fit. - Ensure production readiness through observability, performance tuning, and cost control strategies. - Collaborate with senior engineering leaders and business stakeholders to translate requirements into clear technical direction.



- Set best practices and guardrails for agentic AI development across teams. Job Requirement: - B.Tech, MCA, MSC(IT), or M.Tech degree in Computer Science or related field. - 9 to 12 years of experience in software architecture, backend systems, or AI platform development. - Robust proficiency in Python and familiarity with design patterns and microservices architectures. - Hands-on experience with LLMs and agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and AutoGPT or similar. - Expertise in embeddings, vector databases, and retrieval systems. - Proven track record of designing scalable and maintainable systems.

📌 Associate Software Architect _agentic Ai (Bhubaneswar)
🏢 Bebo Technologies
📍 Bhubaneswar