AI / Machine Learning Engineer

Talently es una plataforma líder en América Latina que conecta empresas con el mejor talento tech, utilizando Inteligencia Artificial para optimizar el proceso de reclutamiento.

Nuestra misión es simplificar la búsqueda y contratación de profesionales altamente calificados, asegurando un match perfecto entre candidatos y empresas en un tiempo récord. Ofrecemos productos que se adaptan a las diferentes necesidades de empresas y talento.

En Talently, entregamos calidad y velocidad en cada proceso, permitiendo que nuestros clientes se enfoquen en lo que mejor saben hacer: Crecer sus negocios.

🤓As an AI / Machine Learning Engineer, the company expects you to perform the following tasks:

• Deploy LLM Systems: Integrate and manage practical implementations of leading LLMs via APIs (OpenAI, Anthropic, AWS Bedrock) into scalable applications.
• Build RAG Pipelines: Architect, implement, and optimize Retrieval-Augmented Generation systems to ensure accurate, context-aware AI outputs.
• Manage Vector Databases: Handle high-dimensional data, embeddings, and retrieval optimization using modern vector DBs like Pinecone, Qdrant, or Weaviate.
• Develop Agentic Workflows: Design and deploy autonomous or semi-autonomous agentic systems using LangChain, LlamaIndex, or equivalent frameworks.
• Ensure Code Quality: Write, test, and maintain robust, production-grade Python code that scales effectively under real-world user demand.

✨You are the person we are looking for if you have:

• Python Mastery: 4 to 6 years of proven experience writing clean, maintainable, production-grade Python code.
• Applied AI Experience: 2+ years of hands-on experience building, deploying, and maintaining AI/ML features in a live production environment.
• LLM Integration: Deep understanding of prompting, context window management, and API integration for major models (OpenAI, Anthropic, Bedrock).
• Data & Retrieval: Strong practical knowledge of embeddings and retrieval optimization strategies.
• Framework Proficiency: Extensive experience with modern AI orchestration frameworks (LangChain, LlamaIndex, etc.).