Live opening · Posted 13 days ago
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About the role
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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 Requirements:
B.Tech, MCA, MSC(IT), or M.Tech degree in Computer Science or a related field
9 to 12 years of experience in software architecture, backend systems, or AI platform development
Strong 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
Work arrangement
No
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