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Assistant Manager- Python AI Developer - AI Foundry at KPMG India

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

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

Job Requirements Mandatory Skills: * Overall experience of 7+ 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 / M.Sc / M.E / M.Tech

Responsibilities

The role involves leveraging GenAI libraries like LangChain and integrating various Large Language Models (LLMs) such as Gemini and OpenAI to build Agentic AI Applications. Responsibilities also include designing, implementing, and deploying microservice architecture-based applications while ensuring performance optimization.