Data Scientist - Agentic AI Developer
CAI (company site, opens in a new tab)6–8 yrsBengaluruRemoteDirect career pageEst. 30–45 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, deploy, and monitor production-ready machine learning, Generative AI, LLM, RAG, and Agentic AI solutions using Databricks and AWS Bedrock.
- Design and implement multi-step and multi-agent AI workflows including tool calling, state/memory management, human-in-the-loop approvals, retries, and fallbacks.
- Collaborate with business and technical stakeholders to define problem statements, success metrics, and communicate technical trade-offs and recommendations effectively.
Minimum Requirements
- 6 to 8 years of Data Science experience with at least 3 years hands-on Generative AI experience.
- At least 5 years of advanced Python development expertise including Pandas, NumPy, PySpark, SQL, and OOP.
- Experience with Databricks Apps, MLflow, Model Serving, Vector Search, and AWS Bedrock services including Lambda, API Gateway.
- Work Experience Required: 6 to 8 years as explicitly stated in the JD.
Ideal Candidate Profile
- Experienced in building end-to-end multi-agent and multi-step AI systems involving complex workflows and integrations.
- Proficient in both foundational machine learning techniques and advanced generative AI model development and deployment on cloud platforms.
- Comfortable working remotely with cross-functional teams including business and engineering stakeholders to deliver scalable AI solutions.