Python AIML-Prompt engineer
Actively Reviewing the ApplicationsBirlasoft
Job Description
About the job
Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business outcomes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation.
As part of the multibillion-dollar CKA Birla Group, Birlasoft, boasting a team of 12,500+ professionals, is committed to carrying forward the Group's illustrious 162-year legacy. At our core, we prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, ensuring our commitment to building not just businesses but inclusive and sustainable communities.
Join us in shaping a future where technology aligns seamlessly with purpose.
Python AI/ML -Prompt Engineer
This is Python application development role. Requires deep core Python expertise to develop application backends using core Python libraries. This is not a Python data science role. The ideal candidate will have a strong background in Python application development, particularly in the context of AI applications. This role requires expertise in web development frameworks like Flask, Django, or FastAPI, as well as proficiency in core Python concepts, cloud services deployment, and contemporary Python libraries for LM orchestration. The successful candidate will be responsible for designing, developing, and deploying AI applications on cloud platforms like Azure or AWS
- 7-10 years of overall technology experience in core application development
- Must have : Flask / Django / Fast API development expertise with least 2-3 project delivered as a Python application developer.
- Must have : Core Python – Iterators, Generators , OOP concepts, Python Shell (REPL) and Object Relational Mapper, Data structure and Exception handling etc.
- Must have : AI Search, Vector Database creation for relational databases and unstructured data.
- Must have : Azure app services expertise in terms of building and deploying AI apps using cloud services.
- Build and maintain backend APIs and services using the Python programming language. APIs are used by mobile apps, front-end applications, and other services.
- Design robust and scalable systems using Python frameworks like Django, Flask or Pyramid. Write clean, maintainable code that can handle high loads and traffic.
Integrate with data stores like PostgreSQL, MySQL, MongoDB, etc. Build queries, schemas, and services to interact with data in the application
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