Senior AI Engineer — LLMs, MLOps & Production AI

Capgemini; Dallas (TX); On-site; USD 90,000 - 97,000; Full time

Benefits offered by this job

401(k) plan

Health insurance

Paid time off

Job summary

Capgemini seeks an AI/ML engineer to design, develop, and deploy production AI solutions across multiple domains from Westlake, TX. You will build models, implement MLOps, and collaborate with cross-functional teams to align AI initiatives with business goals.

The role requires 5+ years of hands-on experience with NLP, ML, LLMs, and cloud deployment on AWS/GCP/Azure, using TensorFlow or PyTorch for diverse AI tasks.

Qualifications

• 5+ years of hands-on AI development and ML in production.
• Experience training, building, and deploying production AI solutions.
• Experience using Mlflow or similar lifecycle tools for ML models.
• Advanced knowledge of ML models and LLMs, using LangChain or similar.
• Experience implementing LLMs with vector bases and Retrieval-Augmented Generation (RAG).
• Experience with GenAI production and support.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure).

Responsibilities

• Designs and develops AI systems to solve business challenges.
• Builds and trains ML models and algorithms for NLP, vision, robotics tasks.
• Collaborates with data scientists, product managers, and stakeholders to align AI with business goals.
• Optimizes AI model performance based on statistics and data-scale feedback.
• Implements automation to streamline AI workflows and decisions.
• Explores new AI technologies to improve scalability and capabilities.
• Troubleshoots and improves AI applications for reliability and UX.
• Develops AI prototypes for testing and feedback before full deployment.

Skills

AI development

NLP

ML engineering

MLOps

LLMs

RAG

Cloud deployment

Tools

Mlflow

LangChain

TensorFlow

PyTorch

Vector databases

AWS/GCP/Azure

Job description

Capgemini seeks an AI/ML engineer to design, develop, and deploy production AI solutions across multiple domains from Westlake, TX. You will build models, implement MLOps, and collaborate with cross-functional teams to align AI initiatives with business goals.

The role requires 5+ years of hands-on experience with NLP, ML, LLMs, and cloud deployment on AWS/GCP/Azure, using TensorFlow or PyTorch for diverse AI tasks.