Senior AI Engineer

Wizeline·Colombiasenior

En corto

→Ingeniero de IA sénior que diseña y despliega soluciones de IA generativa en AWS Bedrock.
→Trabaja en equipo con científicos de datos y product managers para convertir problemas complejos en soluciones empresariales en la nube.
→Destacado: Se enfoca en LLMs, agentes de IA y arquitecturas RAG en entornos enterprise con énfasis en escala, seguridad y cumplimiento.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

¿Qué piden?

✓5+ años de experiencia en desarrollo y despliegue de IA/ML.
✓Experto en IA generativa, LLMs, agentes de IA y arquitecturas RAG.
✓Experiencia comprobada en despliegue de soluciones en AWS Bedrock.
✓Habilidades sólidas en programación con Python.
✓Experiencia en arquitecturas cloud-native y soluciones a escala empresarial.
✓Compromiso con prácticas de IA ética y responsable.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

AWS BedrockLarge Language Models (LLMs)AI AgentsRetrieval-Augmented GenerationVector databasesLarge-scale search systemsPythonCloud-native architecturesData pipelinesEnterprise-scale solutions

¿A quién escribirle en Wizeline?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: Key Responsibilities • Deep knowledge of AI and ML frameworks, with a focus on NLP, predictive modeling, data analysis, and generative AI. • Design, build, and deploy advanced Machine Learning and Generative AI solutions on AWS Bedrock, with emphasis on Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and large-scale search. • Integrate and optimize foundation models on AWS Bedrock for enterprise use cases, ensuring scalability, security, and compliance in dedicated AWS environments. • Collaborate with data scientists, data engineers, and product teams to transform complex problems into cloud-native, production-ready AI solutions on AWS. • Run experiments, explore novel algorithms, and leverage AWS Generative AI and Bedrock capabilities to maximize performance, user experience, and business outcomes. • Ensure the adoption of ethical and responsible AI practices across all solutions. Must-have Skills • 5+ years of hands-on experience in AI/ML development and deployment. • Strong expertise in Generative AI, LLMs, AI Agents, and RAG architectures. • Proven experience designing and deploying solutions on AWS Bedrock. • Strong programming skills in Python • Experience in cloud-native architectures and enterprise-scale solutions. • Familiarity with data pipelines, vector databases, and large-scale search systems. • Demonstrated ability to collaborate with cross-functional teams (scientists, engineers, product managers). • Commitment to responsible and ethical AI practices. Nice-to-Have Skills • AI Tooling Proficiency : Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. • Experience with LangChain, llama-index, or similar orchestration frameworks for RAG/LLM pipelines. • Knowledge of multi-cloud or hybrid cloud environments. • Exposure to MLOps best practices (CI/CD for ML, monitoring, observability). • Familiarity with security and compliance frameworks in regulated industries • Advanced degree (MSc/PhD) in Computer Science, Machine Learning, or related field. What we offer: • A High-Impact Environment • Commitment to Professional Development • Flexible and Collaborative Culture • Global Opportunities • Vibrant Community • Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here .

¿Buscando algo parecido?

Dejá tu email y te avisamos cuando salgan vacantes que coincidan con tu perfil.

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.