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




- Set best practices and guardrails for agentic AI development across teams. N

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

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