Guest Tech - AI/ML Engineer (QA)

Capgemini

Aguascalientes

On-site

MXN 720,000 - 1,080,000

Full time

14 days+

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Job summary

Capgemini in Aguascalientes is seeking an AI/ML Engineer (QA) to design and deliver GenAI solutions. You will develop production-grade AI applications using LLMs, embeddings, and RAG, and deploy conversational workflows across platforms like Dialogflow CX.

You’ll optimize models for latency and cost while collaborating with product, engineering, and data teams to achieve reliable AI features. The role emphasizes hands-on coding in Python or Node.js, exposure to LangChain/LangGraph, and

Qualifications

  • Strong programming in Python or Node.js.
  • Experience with LLMs, RAG, embeddings and vector databases.
  • Cloud deployment and MLOps fundamentals.
  • Familiarity with conversational AI platforms (Dialogflow CX, GenAI playbooks).
  • Exposure to LangChain and orchestration frameworks.

Responsibilities

  • Develop GenAI applications using LLMs, embeddings, and RAG architectures.
  • Build and deploy chatbots, virtual assistants, and conversational workflows (Dialogflow CX, Copilot Studio).
  • Implement AI workflows using LangChain, LangGraph, and vector databases.
  • Optimize models for performance, latency, and cost; integrate with cloud platforms (Azure/AWS/GCP).
  • Collaborate with product, engineering, and data teams to deliver reliable AI features.

Skills

Python/Node.js
LLMs & embeddings
Cloud deployment & MLOps
Dialogflow CX
LangChain & LangGraph

Tools

Vector databases

Job description

# Guest Tech - AI/ML Engineer (QA)AguascalientesApply for this job* Permanent* Experienced Professionals* Data & AI* ID 546109-en\\_US**Capgemini**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.**Your Role*** Looking for a Generative AI Engineer to build, integrate, and optimize AI solutions using Large Language Models (LLMs), RAG pipelines, conversational AI platforms, and modern AI orchestration frameworks.* The role focuses on delivering scalable, production‐grade GenAI applications for enterprise use cases. Key Responsibilities Develop GenAI applications using LLMs, embeddings, and RAG architectures.* Build and deploy chatbots, virtual assistants, and conversational workflows (Dialogflow CX, Copilot Studio). Implement AI workflows using LangChain, LangGraph, and vector databases.* Optimize models for performance, latency, and cost; integrate with cloud platforms (Azure/AWS/GCP). Collaborate with product, engineering, and data teams to deliver reliable AI features.**Your Profile*** Required Skills Strong programming in Python or Node.js. Hands‐on experience with LLMs, RAG, embeddings, and vector databases.* Experience with cloud deployment and MLOps fundamentals.* Familiarity with conversational AI platforms (Dialogflow CX, GenAI playbooks). Preferred Skills Knowledge of multimodal models, agentic AI, and model fine‐tuning.* Exposure to LangChain / LangGraph and orchestration frameworks.**What you’ll love****Empowered Careers with Purpose:** Work on meaningful projects that use technology to solve real-world challenges.**Growth and Learning at Every Step:** Access continuous learning through internal academies, certifications and mentorship.**Own your growth:** Open access to digital learning platforms**About Capgemini****Capgemini (Footer)**Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group ofover 420,000 team members in more than 50 countries. We deliver end-toend services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcomeand will be considered based on merit against the job and/or experience for the position## Job DescriptionThe role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.## Job Description - Grade SpecificThe role brings deep technical knowledge and expertise in machine learning to help clients or organizations navigate the complex landscape of AI. Plays a crucial role in providing designing solutions and ensuring successful implementation of machine learning projects to drive business impact. Also, assist in testing, deploying and monitoring models in production environments
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