AI Engineer
Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description
Required Skills: Python, Machine Learning, Deep Learning, PyTorch, TensorFlow, Keras, Generative AI, Large Language Models (LLMs), Prompt Engineering, Fine-Tuning Techniques (LoRA, QLoRA), Hugging Face, LangChain, LlamaIndex, Retrieval-Augmented Generation (RAG), Vector Databases, Hybrid Search Techniques, NLP, Data Processing, REST APIs, Git, Agile/Scrum.
Preferred Skills: Agentic AI Frameworks, AI Model Evaluation, MLOps, Azure OpenAI, AWS Bedrock, Databricks, Streamlit, FastAPI, Docker, Kubernetes, Banking or Financial Services Domain Experience.
Job Responsibilities:
Design, develop, and deploy AI/ML and Generative AI solutions using Python, build and fine-tune machine learning and large language models using frameworks such as PyTorch, TensorFlow, and Keras, develop RAG-based applications using LangChain, Hugging Face, and LlamaIndex, implement and optimize vector search and hybrid search solutions, perform model training, evaluation, and fine-tuning using techniques such as LoRA and QLoRA, develop APIs and AI-powered services, integrate AI models with enterprise applications, ensure model performance, scalability, and reliability, collaborate with business and technology teams to translate requirements into AI solutions, and participate in Agile development, testing, deployment, and support activities.
The base compensation range for this role in the posted location is: $106230 to $145000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
Posted July 27, 2026