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Generative AI Engineer- (LATAM CANDIDATES ONLY)

Roles & Responsibilities

  • Minimum 3 years of experience in software engineering, machine learning, data science, or Generative AI development.
  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field preferred.
  • Hands-on experience building and deploying applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, or similar.
  • Strong programming skills in Python and experience with REST APIs and backend development.

Requirements:

  • Design, develop, and deploy Generative AI solutions leveraging Large Language Models (LLMs) and multimodal AI technologies.
  • Build and maintain scalable AI applications using cloud platforms such as Azure, AWS, or GCP.
  • Develop and optimize Retrieval-Augmented Generation (RAG) architectures, vector databases, and knowledge retrieval systems.
  • Collaborate with software engineering, data science, DevOps, and security teams to integrate AI solutions into production environments.

Job description

At Talentus Global, we are looking for you!
 
We are a U.S. company with a strong presence in LATAM and across 20+ countries around the world. Some of our key near-shore BPO services include: smart-sourcing, dedicated or cluster teams, managed IT services, software outsourcing, and top ERP & CRM solutions—driven by our practices across many industries, including Higher Education.
 
We are currently looking for a Generative AI Engineer , to become a valuable addition to our dynamic team! 
 

Responsibilities:

  • Design, develop, and deploy Generative AI solutions leveraging Large Language Models (LLMs) and multimodal AI technologies.
  • Build and maintain scalable AI applications using cloud platforms such as Azure, AWS, or GCP.
  • Develop and optimize Retrieval-Augmented Generation (RAG) architectures, vector databases, and knowledge retrieval systems.
  • Fine-tune, evaluate, and monitor foundation models to improve performance, accuracy, and reliability.
  • Implement prompt engineering strategies and AI orchestration frameworks to support business use cases.
  • Collaborate with software engineering, data science, DevOps, and security teams to integrate AI solutions into production environments.
  • Develop APIs, microservices, and AI-powered applications following software engineering best practices.
  • Ensure compliance with AI governance, security, privacy, and responsible AI standards.
  • Monitor AI workloads, model performance, and operational costs, recommending continuous improvements.
  • Stay current with emerging Generative AI technologies, frameworks, and industry trends.

Qualifications:

  • Minimum 3 years of experience in software engineering, machine learning, data science, or Generative AI development.
  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field preferred.
  • Hands-on experience building and deploying applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, or similar.
  • Experience with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent.
  • Strong programming skills in Python and experience with REST APIs and backend development.
  • Experience implementing RAG architectures, vector databases (Pinecone, Weaviate, Chroma, Azure AI Search, or similar), and document processing pipelines.
  • Experience with cloud platforms (Azure preferred, AWS, or GCP) and AI-related services.
  • Knowledge of machine learning fundamentals, model evaluation techniques, and MLOps practices.
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes) is highly desirable.
  • Experience with CI/CD pipelines, infrastructure automation, and production deployments.
  • Strong understanding of security, data privacy, and responsible AI principles.
  • Experience working in Agile development environments.
  • Advanced English proficiency (C1 level or higher) with strong verbal and written communication skills.
  • Must have experience working for US clients

What do we offer? 
· Contractor model 
· Remote model
· Salary in $USD 
· Paid Vacations 
· Day off for birthdays  
· Benefits courses and/or certifications 
-Opportunity to work with top-tier U.S. clients.
-Entrepreneurial, multicultural team culture.
 
 
 
Join us if you have what it takes to be part of the Talentus Global Team!

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