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Mid-level GenAI role in Bangalore with popular skills and metro location increases applicant competition.
GenAI, LLM and AWS deployment skills are broadly transferable across industries, so background fit is low.
Explicit 5–10 years plus mandatory LLM, LangChain and AWS production experience raises shortlisting strictness.
Build and deploy scalable AI agent workflows integrated with a global CRM ecosystem on AWS using serverless and managed services.
Optimize AI agents to generate measurable business value for CRM end users in Healthcare Commercial and Field Force sectors.
Design, implement, and test AI workflows within an agile development team to improve business processes.
5-10 years of relevant Data Scientist experience focused on AI and agentic AI projects.
Proficiency with Large Language Models and AI SDKs (OpenAI, Anthropic, Langchain) deployed in production environments.
Advanced Python programming skills emphasizing Object-Oriented Programming and modern development best practices.
Strong knowledge of AWS cloud services (Glue, Athena, Step Functions, Lambdas) and agile tools like Azure DevOps or Jira.
Experienced in building AI agents in production within cloud-native (AWS) environments, especially for CRM systems.
Demonstrates expertise with agentic AI frameworks and large language models applied to real-world business use cases.
Comfortable working in agile teams with a focus on integrating AI solutions that drive measurable business improvements.