Job opening Python Gen AI Developer @ Global Data- Hyd

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