Associate Software Architect _Agentic AI

bebo Technologies; Khordha; On-site; INR 3,500,000 - 8,000,000; Full time

Job summary

bebo Technologies in India seeks a senior software architect to own the end-to-end architecture of agentic AI systems. You will define multi-agent patterns, establish standards for reasoning workflows, and design scalable RAG architectures to support production-grade deployments.

The role requires 9–12 years of experience in software architecture, strong Python expertise, and hands-on work with LLMs and agent frameworks like LangChain, LangGraph, CrewAI, AutoGen, or AutoGPT.

Qualifications

• B.Tech, MCA, MSc(IT), or M.Tech 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.

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.

Skills

Python

LLMs & Agents

Microservices

Design patterns

Architectural design

Education

B.Tech

MCA

MSc IT

M.Tech

Tools

LangChain

LangGraph

CrewAI

AutoGen

AutoGPT

Job description

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.


• 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.