AI Engineer

Capgemini • Atlanta, GA

9d • $90,000 - $96,665

About The Position

The AI Engineer designs, develops, trains, and deploys AI systems and machine learning models to address challenges across industries. The role includes building and supporting production AI and Generative AI solutions, including conversational AI, large language models, and Retrieval-Augmented Generation applications. The engineer collaborates with data scientists, product managers, and other stakeholders to align solutions with business objectives; optimizes model performance using statistical analysis and large datasets; automates workflows; develops prototypes for testing and feedback; and troubleshoots and improves AI applications. The position is located in Westlake, Texas.

Requirements

• At least 5 years of hands-on experience in AI development, data analysis, and machine learning techniques.
• Experience putting machine learning models into production.
• Expertise in conversational AI, LLMs, NLP, and machine learning, including training, building, and deploying production AI solutions.
• Experience with MLflow or similar tools for machine learning model lifecycle management.
• Advanced knowledge of machine learning models and LLMs, and experience using LangChain or a similar tool.
• Experience implementing and tuning LLMs using vector databases and Retrieval-Augmented Generation (RAG), with GPT, Llama, or another LLM.
• Experience putting Generative AI models into production and supporting them.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and scaling.
• Ability to write clean, efficient, and reusable code.

Responsibilities

• Design and develop AI systems, algorithms, and machine learning models to solve challenges across industries.
• Collaborate with data scientists, product managers, and stakeholders to align AI solutions with business objectives.
• Build and train machine learning models for tasks such as natural language processing, computer vision, and robotics, using tools such as TensorFlow and PyTorch.
• Optimize model performance and efficiency based on statistical analysis and large datasets.
• Develop AI-driven automation to streamline workflows and improve decision-making.
• Stay current with AI technologies and frameworks to improve the functionality and scalability of AI systems.
• Troubleshoot and improve AI applications to enhance performance and user experience.
• Develop AI prototypes for testing and feedback before full-scale deployment.
• Implement and support production Generative AI models.
• Perform solution architecture validations for LLMs.

Benefits

• Paid time off, including vacation (12–25 days depending on employee grade), company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed