1 day ago
Base Salary
$80k - $90k/yr
Responsibilities
- Design, develop, and deploy conversational AI solutions using LLMs such as GPT, Llama, and other foundation models.
- Build enterprise chatbots, virtual assistants, and AI-powered applications.
- Implement RAG architectures with vector databases and semantic search technologies.
- Develop prompt engineering strategies and optimize prompts for response quality and user experience.
- Evaluate, fine-tune, and optimize LLMs and apply NLP techniques including intent recognition, classification, sentiment analysis, entity extraction, summarization, and semantic search.
- Use TensorFlow, PyTorch, and related AI/ML platforms to build scalable solutions and improve model performance through experimentation.
- Manage the AI and machine learning model lifecycle using MLflow or similar MLOps tools.
- Deploy, monitor, maintain, and ensure the reliability and scalability of production-grade AI applications.
- Integrate conversational AI into Angular web applications and develop responsive AI-powered user interfaces.
- Connect LLM and ML services with enterprise applications, validate solution architectures, and develop proofs of concept, prototypes, and pilots.
Requirements
- Bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
- At least 5 years of hands-on experience in AI development, data analysis, and machine learning.
- Proven experience building and deploying production-grade AI/ML solutions.
- Strong expertise in Conversational AI, Generative AI, NLP, and LLMs.
- Experience with LangChain or similar LLM orchestration frameworks and hands-on RAG implementation using vector databases.
- Experience with GPT, Llama, or other commercial or open-source LLMs.
- Strong proficiency in Python and software engineering best practices.
- Experience with Angular and modern web application development.
- Knowledge of MLflow or similar MLOps platforms and TensorFlow, PyTorch, or equivalent machine learning frameworks.
- Familiarity with Azure, AWS, or Google Cloud services for AI deployment and scaling.
Benefits
- Paid time off including 12–25 vacation days depending on employee grade, company 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 and employee assistance programs.
- Regular full-time employees receive a comprehensive, non-negotiable benefits package subject to local policy and eligibility.
- The role is located in Atlanta, Georgia.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.