Job Description

Job Responsibilities:

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

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B.Tech, MCA, MSC(IT), or M.Tech degree in Computer Science or related field.
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9 to 12 years of experience in software architecture, backend systems, or AI platform development.
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Robust proficiency in Python and familiarity with design patterns and microservices architectures.
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Hands-on experience with LLMs and agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and AutoGPT or similar.
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Expertise in embeddings, vector databases, and retrieval systems.
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Proven track record of designing scalable and maintainable systems.
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📌 Associate Software Architect Agentic Ai Bhubaneswar
🏢 Bebo Technologies
📍 Bhubaneswar