Remote Forward-Deployed AI Engineer (Python)

FullStack; Valparaíso; A distancia; CLP 115.607.000 - 173.410.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Continuing education opportunities

Grow your career with leading clients

Descripción de la vacante

FullStack is seeking Forward Deployed Engineers who embed with client teams to architect, build, and sustain AI-powered solutions. You will own data, retrieval, and model behavior, ensuring trusted, production-ready systems for Fortune 500 clients and regulated industries.

You will combine consulting, engineering, and operational skills to shape the problem, design end-to-end architectures, and deliver prototypes that prove value in weeks, not months.

Formación

• Proven experience as ML/Data Architect or senior AI engineer with production systems.
• Hands-on with CI/CD for AI/ML including MLOps practices.
• Strong data integration, ETL/ELT awareness and API-based data flows.
• Deep understanding of retrieval, embeddings, vector search, and model behavior.

Responsabilidades

• Lead architecture decisions for end-to-end AI-powered solutions.
• Design and deploy agent-based systems with robust retrieval and context handling.
• Collaborate with client teams to align business outcomes with technical deliverables.
• Build and operate production-grade AI services with monitoring and governance.
• Present findings to senior stakeholders and guide proposal scoping.

Conocimientos

ML/Data Architect

CI/CD for AI

Data integration

Retrieval/embeddings

Herramientas

Claude Code

Agent frameworks

MCP

Tool calling

Descripción del empleo

FullStack is seeking Forward Deployed Engineers who embed with client teams to architect, build, and sustain AI-powered solutions. You will own data, retrieval, and model behavior, ensuring trusted, production-ready systems for Fortune 500 clients and regulated industries.

You will combine consulting, engineering, and operational skills to shape the problem, design end-to-end architectures, and deliver prototypes that prove value in weeks, not months.