AI Engineering Leader — Production AI & MLOps

Blend; Lo Barnechea; Híbrido; CLP 82.267.000 - 137.112.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS Certifications

Databricks training

Udemy access

English learning support

Descripción de la vacante

Blend is a premier AI services provider seeking an experienced leader to oversee AI engineering delivery in LATAM. You will guide RAG/LLM projects, architect scalable AI systems, and mentor engineers for production deployments.

You will drive evaluation design, implement robust MLOps practices, and collaborate with stakeholders to align technical feasibility with business goals. Strong English communication and leadership are essential.

Formación

• 7+ years hands-on AI/ML engineering experience in production environments
• 2+ years of direct team leadership or technical management experience
• Advanced Python proficiency, strong Git practices, and experience with ML/LLM versioning and deployment
• Solid cloud experience across AWS, Azure, or GCP—preference for Azure—plus containerisation and orchestration knowledge
• Hands-on RAG experience covering chunking, embeddings, retrieval, reranking, and evaluation
• Proven MLOps/LLMOps track record using tools like MLflow, Weights and Biases, or similar
• Practical evaluation design skills: metrics, dataset curation, and structured experimentation
• Experience with event-driven architectures, APIs, and microservices
• A clear communicator equally comfortable with engineering teams and senior stakeholders
• Strong hiring and team-building instincts with proven mentoring experience

Responsabilidades

• Lead project delivery end to end with governance and stakeholder communication
• Build and mentor a high-performing AI engineering team and set technical standards
• Own proposals and new business initiatives, define feasibility and communicate risks
• Define AI system scope and set realistic expectations with clients
• Conduct technical reviews and architectural assessments for high standards across projects

Conocimientos

Python

Git practices

Cloud platforms (AWS/Azure/GCP)

ML/LLM versioning

MLOps/LLMOps

RAG experience

Communication

Leadership

Herramientas

MLflow

Weights & Biases

Databricks

Snowflake

Docker

Kubernetes

Descripción del empleo

Blend is a premier AI services provider seeking an experienced leader to oversee AI engineering delivery in LATAM. You will guide RAG/LLM projects, architect scalable AI systems, and mentor engineers for production deployments.

You will drive evaluation design, implement robust MLOps practices, and collaborate with stakeholders to align technical feasibility with business goals. Strong English communication and leadership are essential.