Applied AI Engineer - Scalable ML/LLM Pipelines, Relocation

QuantCo; Philippines; Remoto; PHP 900.000 - 1.500.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation support

Stock options

Bonus

Descrizione del lavoro

QuantCo, a data science and engineering firm, is seeking an AI engineer in the Philippines to design, test, and deploy production-ready AI systems at scale. You will work at the intersection of machine learning and software engineering, building data and inference pipelines, integrating LLM components, and balancing technical constraints with client priorities.

Join a team that values rapid experimentation, strong CS fundamentals, and real-world impact.

Competenze

• BSc, MSc or PhD in Computer Science, Engineering, Physics, or a related technical or STEM field from a leading university.
• Experience with models in Computer Vision, NLP, or Graph Neural Networks.
• Experience writing production-ready code and Python.
• Familiarity with frontier labs APIs (Gemini, OpenAI, Anthropic) and their features like structured outputs and tool calling.
• Understanding of LLM inference, prompt caching, and data/inference pipelines.
• Strong CS fundamentals in data structures, cloud, distributed systems, ML, and HPC.
• Experience with large, unstructured real-world data sets.
• Ability to develop custom tooling for experimentation and evaluation of LLM apps.

Mansioni

• Design, test, and deploy AI systems embedded at scale.
• Lead design of data and inference pipelines and integration of LLM components (RAG).
• Balance engineering constraints with business priorities and deploy solutions in enterprise settings.
• Collaborate with data scientists to solve complex problems and iterate rapidly.

Conoscenze

Python

LLM systems

Production-ready code

RAG

Distributed systems

Cloud infrastructure

Formazione

PhD in CS

MSc in Engineering

BSc in CS

Strumenti

Gemini API

OpenAI API

Anthropic API

Descrizione del lavoro

QuantCo, a data science and engineering firm, is seeking an AI engineer in the Philippines to design, test, and deploy production-ready AI systems at scale. You will work at the intersection of machine learning and software engineering, building data and inference pipelines, integrating LLM components, and balancing technical constraints with client priorities.

Join a team that values rapid experimentation, strong CS fundamentals, and real-world impact.