Remote AI Engineer — Build & Deploy Customer AI Solutions

Motum; Buenos Aires; A distancia; ARS 182.102.000 - 273.154.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

10 days PTO per year

Career growth with US company

Descripción de la vacante

Motum is hiring a hands-on Forward Deployed Engineer for a US-based client. The role is fully remote and requires strong English proficiency (C1-C2) for LATAM residents.

You will work directly with customers to design and deploy AI-powered prototypes and production solutions, guiding projects from PoC to deployment. The ideal candidate has experience with LLMs, APIs, and cloud platforms, plus strong communication skills to translate business needs into engineering work.

Formación

• Impeccable attention to detail and strong problem-solving skills.
• Excellent communication and interpersonal skills.
• Hands-on experience building solutions with LLMs and RAG.
• Strong experience with APIs, SQL, and cloud platforms.
• Proficiency with Git and Docker.
• Proven experience working directly with customers on technical solutions.

Responsabilidades

• Work directly with customers to understand their technical and business problems.
• Build prototypes and production solutions using AI and software engineering.
• Integrate customer data, APIs, databases, and existing systems.
• Lead solutions from proof-of-concept through production deployment.
• Translate customer requirements into technical implementations.
• Partner with Product and Engineering to feed customer requirements back into the roadmap.

Conocimientos

Attention to detail

Excellent communication

LLMs & RAG

APIs

SQL

Customer-facing experience

Herramientas

Git

Docker

AWS

Azure

GCP

Descripción del empleo

Motum is hiring a hands-on Forward Deployed Engineer for a US-based client. The role is fully remote and requires strong English proficiency (C1-C2) for LATAM residents.

You will work directly with customers to design and deploy AI-powered prototypes and production solutions, guiding projects from PoC to deployment. The ideal candidate has experience with LLMs, APIs, and cloud platforms, plus strong communication skills to translate business needs into engineering work.