Senior Agentic AI Developer
CAI (Computer Aid, Inc.) (company site, opens in a new tab)3–6 yrsOn-siteDirect career pageEst. 15–28 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 using frameworks like AutoGen, LangGraph, and CrewAI focused on autonomous workflows and generative AI.
- Implement agent communication protocols (A2A, MCP) and build intelligent workflow orchestration systems enabling autonomous decision-making and self-healing adaptive workflows.
- Deploy and optimize LLM models and generative AI solutions on cloud platforms (AWS Bedrock, SageMaker) integrating RAG architectures, vector DBs, and knowledge graphs.
Minimum Requirements
- 3-6 years of technical experience including 2 years hands-on in Generative AI and LLM technologies.
- 1+ years experience building agentic systems, workflow automation, or autonomous AI applications.
- Proficiency in Python is required; experience with agentic frameworks, workflow orchestration tools, and cloud-based LLM platforms (AWS) is mandatory.
- Work location: Hybrid Bengaluru.
Ideal Candidate Profile
- Experienced with multi-agent architectures including memory, planning, and tool-use capabilities and agent evaluation/testing frameworks.
- Skilled in ML frameworks (TensorFlow, PyTorch, Hugging Face) with strong knowledge of NLP and deep learning models (BERT, GPT, T5).
- Demonstrated ability to design scalable, production-level AI solutions involving MLOps, containerization (Docker, Kubernetes), and CI/CD pipelines in hybrid cloud environments.