LLM Engineer & Prompt Architect (Remote)

Manatal

Philippines

Hybride

PHP 900 000 - 1 500 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Healthcare coverage from day one
Paid time-off with cash conversion
Group life insurance
Performance bonuses
Flexible work arrangements

Résumé du poste

MicroSourcing is seeking an LLM Engineer / Prompt Engineer in the Philippines to design, develop, and optimize prompts and workflows for large language model applications. You'll build AI-driven solutions such as chatbots, copilots, and intelligent automation systems, while collaborating with data engineers and software developers to integrate LLM capabilities into production.

You will evaluate model outputs, explore RAG and prompt techniques, and apply strategies to improve accuracy, relevance,

Qualifications

  • Bachelor’s degree requirement.
  • 2–5 years in software/AI/ML/NLP roles.
  • Strong Python skills and experience with LLMs.
  • Knowledge of prompt engineering and model evaluation.

Responsabilités

  • Design, develop, and optimize prompts and workflows for LLM apps.
  • Build and maintain AI-driven solutions like chatbots and copilots.
  • Evaluate outputs and improve accuracy, relevance, and safety.
  • Collaborate with data engineers and software developers to productionize LLM capabilities.
  • Experiment with RAG and prompt techniques.

Connaissances

Python
Prompt engineering
NLP concepts
AI/ML experience

Formation

Bachelor's degree in Computer Science, Data Science, AI or related field

Outils

LangChain
LlamaIndex
Pinecone
FAISS
Cloud platforms (AWS/Azure/GCP)

Description du poste

MicroSourcing is seeking an LLM Engineer / Prompt Engineer in the Philippines to design, develop, and optimize prompts and workflows for large language model applications. You'll build AI-driven solutions such as chatbots, copilots, and intelligent automation systems, while collaborating with data engineers and software developers to integrate LLM capabilities into production.

You will evaluate model outputs, explore RAG and prompt techniques, and apply strategies to improve accuracy, relevance,

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