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Hello, Greetings from GlobalData- Hyd Job Description & Requirements: WHAT WE ARE LOOKING FOR We are looking for a Jr/Sr python engineering &LLM capabilities to design and build production-grade python services and data pipelines. The role involves working with APIs, web-based data sources, data validation, and integrating LLMs into scalable applications. Key Responsibilities: Build and maintain Python data services and pipelines that run in scalable production systems Integrate data from a range of internal and external sources, including APIs and web-based sources Design pipelines that process incrementally, and handle change in upstream sources Model and validate data against defined schemas, and maintain those contracts across pipeline stages Apply LLMs to processing tasks that rule-based logic cannot handle well, with output constrained and validated Implement validation and quality checks, including flagging records for review where confidence is low Measure output quality against test sets, and monitor performance and processing cost Build shared, reusable components rather than one-off solutions Contribute to code review, documentation, and engineering standards Requirements Python and engineering 3-8 years of software engineering experience, with strong production Python Asynchronous and concurrent Python (asyncio with httpx or aiohttp) Experience integrating and processing data from APIs and web-based sources at volume Data modelling and validation using Pydantic or similar Building services that run unattended: retries, idempotency, checkpointing, logging and monitoring SQL and relational data Git, code review, testing, and CI as standard practice AI and LLMs Hands-on experience using LLM APIs within production applications Ability to obtain reliable structured output from a model and validate it downstream A systematic approach to prompt development, including versioning and testing against fixed examples Understanding of where model output requires verification, and how to build Regards, Salim- HR team .
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