GenAI Python Engineer — LLMs, RAG, MLOps & Cloud Apps

Capgemini; Hyderabad City Taluka; Presencial; PKR 2 000 000 - 4 200 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Wellness benefits

Flexible work options

Top-up insurance

Resumo da oferta

Capgemini is seeking a Generative AI Engineer to design, develop, deploy, and optimize enterprise AI solutions using LLMs, RAG, and GenAI Amplifier. You will build scalable AI services, APIs, and AI-powered chatbots, deploying on Azure and AWS while ensuring governance and data privacy.

You’ll mentor peers and collaborate with cross-functional teams to turn business requirements into impactful AI outcomes. The role emphasizes strong Python development, model deployment, and observability, with

Qualificações

• Design, develop, and implement Generative AI solutions using LLMs and RAG frameworks.
• Develop scalable AI services and APIs using Python.
• Design, deploy, and govern end-to-end MLOps/LLMOps pipelines.

Responsabilidades

• Build and optimize AI applications leveraging OpenAI, Azure OpenAI, Anthropic and other foundations.
• Deploy AI solutions on Azure and AWS cloud environments.
• Implement model monitoring, prompt engineering, and AI observability practices.
• Collaborate with stakeholders to translate business needs into AI solutions.

Conhecimentos

Python

LLMs

RAG

GenAI Amplifier

Azure

AWS

SQL

LLMOps

MLOps

AI governance

Ferramentas

OpenAI

Azure OpenAI

Anthropic

Llama

vector databases

embedding models

Descrição da oferta de emprego

Capgemini is seeking a Generative AI Engineer to design, develop, deploy, and optimize enterprise AI solutions using LLMs, RAG, and GenAI Amplifier. You will build scalable AI services, APIs, and AI-powered chatbots, deploying on Azure and AWS while ensuring governance and data privacy.

You’ll mentor peers and collaborate with cross-functional teams to turn business requirements into impactful AI outcomes. The role emphasizes strong Python development, model deployment, and observability, with