GenAI Engineer - Hybrid Role with Growth Perks

Thinking Machines Data Science Inc.; Philippines; Hybrid; PHP 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work

Health benefits

Professional development budget

Performance reviews

Job summary

Thinking Machines Data Science Inc. is seeking a GenAI Engineer with a passion for Generative AI to join our AI solutions team in a hybrid setup.

You will work on cutting-edge projects leveraging LLMs to build conversational AI, integrate models, and drive end-to-end deployment. You’ll collaborate with data scientists, software engineers, and product managers, tackle prompt engineering, model optimization, and MLOps practices, and stay ahead of GenAI advances to deliver reliable, scalable

Qualifications

• 2+ years of ML or software engineering experience.
• Hands-on experience with LLMs and GenAI is a plus.
• Proficiency in Python and libraries (Transformers, LangChain).
• Strong foundations in ML principles and algorithms.
• Experience with cloud platforms (Azure, AWS) and deploying ML models.

Responsibilities

• LLM Integration: Integrate LLMs into solutions with natural language interactions.
• Prompt Engineering: Develop prompting strategies to elicit desired responses from LLMs.
• Fine-tuning and Optimization: Fine-tune LLMs for specific tasks.
• Data Processing: Prepare data for training and fine-tuning.
• Model Evaluation: Assess model performance with appropriate metrics.
• MLOps: Implement model deployment, monitoring, and CI/CD for GenAI systems.
• Collaboration: Work with data scientists, software engineers, and product managers.
• R&D: Stay updated on GenAI advancements and apply cutting-edge techniques.

Skills

Machine learning fundamentals

Python programming

Cloud platforms (Azure/AWS)

Problem-solving

Communication skills

Initiative

LLMs and GenAI

Team collaboration

Tools

Transformers

LangChain

Job description

Thinking Machines Data Science Inc. is seeking a GenAI Engineer with a passion for Generative AI to join our AI solutions team in a hybrid setup.

You will work on cutting-edge projects leveraging LLMs to build conversational AI, integrate models, and drive end-to-end deployment. You’ll collaborate with data scientists, software engineers, and product managers, tackle prompt engineering, model optimization, and MLOps practices, and stay ahead of GenAI advances to deliver reliable, scalable