Senior Python Developer
IQVIA (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, optimize, and maintain advanced asynchronous Python applications using core libraries like FastAPI, Pydantic, NumPy, Pandas, and Asyncio.
- Design and deploy autonomous AI agents and multi-agent systems leveraging frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex, integrating large language models via APIs and open-source tools.
- Build and optimize scalable data pipelines and architectures using Snowflake, Databricks (PySpark, Delta Lake), and vector databases for Retrieval-Augmented Generation (RAG) with a focus on query performance, data security, and resource efficiency.
Minimum Requirements
- Expert-level Python programming skills with extensive experience in asynchronous and optimized code development.
- Hands-on experience with AI agent frameworks, large language models integration (OpenAI, Anthropic, Llama), and data engineering using Databricks and Snowflake.
- Experience building and tuning data pipelines, multi-cluster architectures, and implementing secure data sharing within cloud environments.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Deep expertise in Python ecosystem focused on asynchronous programming and AI/ML integration in production environments.
- Strong background in deploying and orchestrating autonomous AI agents and large-scale data pipelines on cloud platforms, especially Azure.
- Proven capability to optimize complex data architectures for performance, security, and cost-efficiency in enterprise healthcare or life sciences contexts.