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.
- Solid proficiency in Python and familiarity with design patterns and microservices architectures.
- Hands-on experience with LLMs and agent frameworks such as Lang Chain, Lang Graph, CrewAI, Auto Gen, 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 (India)
🏢 Bebo Technologies
📍 India