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 transparent 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

📌 Associate Software Architect Agentic AI (Bhubaneswar)
🏢 Bebo Technologies
📍 Bhubaneswar