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 explicit 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.

- 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.

📌 Associate Software Architect _Agentic AI (Chandigarh)
🏢 Bebo Technologies
📍 Chandigarh