Lead AI Engineer: Generative AI in Production

Blend; Región Centro; Híbrido; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS Certifications

Udemy Business

English lessons

Descripción de la vacante

Blend is seeking a Lead AI Engineer to design, architect, and deploy advanced Generative AI solutions in production. This role will shape LLM-based systems, agentic workflows, and applied AI initiatives while partnering with Engineering, Product, and MLOps teams.

The ideal candidate combines hands-on technical depth with software engineering best practices and will balance scalability, reliability, and business impact across cloud environments.

Formación

• Degree in Computer Science, Data Science, Engineering or related field.
• Strong expertise in transformer-based models and LLM architectures.
• Proven experience deploying applied ML or generative AI in production.
• Hands-on with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents.
• Advanced Python and production-grade coding practices.

Responsabilidades

• Design, architect and deploy production-grade AI solutions leveraging LLMs and agentic systems.
• Develop multi-step AI agents with tool invocation and reasoning chains.
• Support deployment of AI apps across AWS/Azure/GCP with scalable, reliable infra.
• Contribute to prompt engineering, evaluation, and model monitoring.
• Implement guardrails and Responsible AI practices.
• Collaborate with Data Scientists, Software Engineers, and Product stakeholders.
• Share knowledge and mentor engineers in high-quality Python code.
• Define KPIs and promote data-driven decision making.

Conocimientos

LLM architectures

Transformer models

Python

Production deployment

Cloud platforms

Leadership

LangChain

Educación

CS/DS/Engineering degree

Herramientas

OpenAI API

LangChain

LlamaIndex

Azure Prompt Flow

AWS Bedrock

Descripción del empleo

Blend is seeking a Lead AI Engineer to design, architect, and deploy advanced Generative AI solutions in production. This role will shape LLM-based systems, agentic workflows, and applied AI initiatives while partnering with Engineering, Product, and MLOps teams.

The ideal candidate combines hands-on technical depth with software engineering best practices and will balance scalability, reliability, and business impact across cloud environments.