Senior Agentic AI Developer
Cai Insights3–6 yrsBengaluruHybridDirect career pageEst. 18–35 LPA
Posted on 14 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy multi-agent and agentic AI systems, focusing on workflow automation and autonomous decision-making.
- Implement agent communication protocols, build intelligent orchestration systems, and integrate RAG workflows with enterprise applications.
- Drive cloud-hosted Generative AI solutions using LLM orchestration frameworks and optimize production LLM inference with hands-on experience in AWS services.
Minimum Requirements
- 3-6 years overall technical experience with minimum 2 years hands-on in Generative AI and LLM technologies.
- At least 1 year experience building agentic systems, workflow automation, or autonomous AI applications.
- Proficiency in Python required; experience with agentic frameworks (e.g., AutoGen, LangGraph), workflow orchestration tools, OpenAPI, A2A protocols, and MCP required.
- Role location is Hybrid Bengaluru; no explicit mention of notice period or degree requirements.
Ideal Candidate Profile
- Experienced in designing multi-agent architectures with memory, planning, and tool-use capabilities for autonomous workflows.
- Skilled in deploying and fine-tuning LLM models in production, using AWS Bedrock, SageMaker, and various LLM orchestration frameworks (LangChain, LlamaIndex).
- Familiar with advanced agent evaluation, testing, MLOps/LLMOps practices, containerization, and RAG architectures optimizing business processes autonomously.