Generative AI Engineer - ML Systems & RAG Apps

Capgemini; New York (NY); On-site; USD 67,000 - 90,000; Full time

Benefits offered by this job

Paid time off

401(k) plan

Medical coverage

Job summary

Capgemini is seeking a skilled AI/ML Engineer in New York to design, develop and deploy Generative AI solutions using Python. You will build and fine-tune ML/LLMs with PyTorch, TensorFlow and Keras, and develop RAG-based apps with LangChain, Hugging Face and LlamaIndex.

You will implement vector and hybrid search, train/evaluate models with LoRA/QLoRA, and create AI-powered APIs integrated into enterprise systems.

Qualifications

• Experience designing and deploying AIML and Generative AI solutions.
• Proficiency with PyTorch, TensorFlow, and Keras for model development.
• Hands-on with LangChain, Hugging Face, and LlamaIndex for RAG apps.

Responsibilities

• Design, develop and deploy AIML and Generative AI solutions using Python.
• Build and finetune ML/LLMs with PyTorch, TensorFlow, Keras.
• Develop RAG-based applications using LangChain, Hugging Face, LlamaIndex.
• Implement and optimize vector search and hybrid search solutions.
• Develop APIs and AI-powered services integrated with enterprise apps.
• Ensure model performance, scalability and reliability in Agile teams.

Skills

Python

PyTorch

TensorFlow

Keras

LangChain

Hugging Face

LlamaIndex

LoRA/QLoRA

APIs

RAG applications

Tools

LangChain

Hugging Face

LlamaIndex

PyTorch

TensorFlow

Keras

Job description

Capgemini is seeking a skilled AI/ML Engineer in New York to design, develop and deploy Generative AI solutions using Python. You will build and fine-tune ML/LLMs with PyTorch, TensorFlow and Keras, and develop RAG-based apps with LangChain, Hugging Face and LlamaIndex.

You will implement vector and hybrid search, train/evaluate models with LoRA/QLoRA, and create AI-powered APIs integrated into enterprise systems.