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Consultant - Python Developer with Gen AI at KPMG India
Bengaluru, karnataka, India -
Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, API Development, LLM Integration, RESTful APIs, WebSockets, FastAPI, Flask, Event-Driven Architectures, Kafka, Pub/Sub, Microservice Architecture, LangChain, LangGraph, CrewAI, AutoGen, RAG Architecture

Industry

Business Consulting and Services

Description
Responsibilities: * Overall experience of 4+ years using Python with API development and 2+ years of experience in integrating LLM * Hands-on experience in developing RESTful APIs and WebSockets using Python frameworks preferably using FastAPI/Flask * Implement event-driven architectures (e.g., Kafka, Pub/Sub) for low-latency data processing * Hand-on experience in designing. implementing and deploying micro service architecture based application * Troubleshoot and resolve backend issues, optimizing application performance and ensuring reliabilityl9iu * Stay updated with industry trends and best practices in backend development. * Leverage GenAI libraries like LangChain, LangGraph, CrewAI, AutoGen etc to build Agentic AI Applications * Integrate various LLM like Gemini, OpenAI, Claude etc. * Experience in implementing RAG based architecture  * Monitor and optimize the performance of application Good to have Skills: * Experience in containerizing the application and hosting on Kubernetes * Ability to fine-tune base LLM * Experience in setting up data pipelines for model training and real-time inference * Experience with Azure/AWS/GCP Cloud Education Qualification: * BE / B.Tech / MCA
Responsibilities
The role involves developing Python-based applications with a focus on API development, integrating Large Language Models (LLMs), and implementing event-driven architectures for low-latency data processing. Responsibilities also include designing, deploying microservices, troubleshooting backend issues, and optimizing application performance.