Senior Data Scientist (Generative AI)

TL;DR

Senior Data Scientist (Generative AI): Designing and developing GenAI-driven solutions for interactive systems and developer-facing tools with an accent on LLMs, retrieval-augmented generation (RAG), and agentic workflows. Focus on building scalable, production-ready AI services, optimizing latency/scalability/cost, and fine-tuning models for domain-specific tasks.

Location: Singapore (role based in Singapore office; occasional travel up to 1 trip per year)

Company

hirify.global builds gamer-focused products and runs a global team across multiple continents.

What you will do

• Design, develop, and maintain GenAI solutions for developer tools and interactive applications.
• Build and extend RAG systems (retrieval pipelines, indexing strategies, prompt orchestration).
• Develop agentic workflows and GenAI packages for reasoning, planning, and tool-based execution.
• Collaborate with software and data engineering teams to design production pipelines and data schemas for structured/unstructured inputs.
• Fine-tune and adapt large language models for domain-specific tasks and performance requirements.
• Evaluate and optimize GenAI services for latency, scalability, reliability, and cost; support deployment, monitoring, and maintenance.

Requirements

• Proven experience developing and deploying applied machine learning or Generative AI systems in real-world applications.
• Strong understanding of LLMs, prompt engineering, retrieval systems, and agent-based architectures.
• Proficiency in Python; experience with deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience building and evaluating RAG pipelines, GenAI tools, or AI-powered microservices.
• Familiarity with cloud-based AI platforms and production ML workflows for training, evaluation, and deployment.
• Excellent written and verbal communication skills across technical and non-technical teams.

Nice to have

• Experience building RAG microservices, agent frameworks, or modular GenAI tooling.
• Exposure to multi-GPU training, distributed experiments, or large-scale model fine-tuning.
• Experience with AWS SageMaker or similar managed ML platforms.
• Awareness of emerging GenAI techniques (tool-using agents, function calling, planning-based workflows).

Culture & Benefits

• Global mission with a team distributed across 5 continents.
• Role is based in the Singapore office with occasional travel for conferences and collaborations.
• Inclusive, equal-opportunity workplace with accommodations where needed.
• Emphasis on accelerated growth personally and professionally.

Hiring process

• Interviews focused on GenAI/LLM/RAG engineering experience and production readiness.
• Technical evaluation of model/service design, evaluation approach, and optimization trade-offs.
• Discussion of collaboration style across data, software, and game development stakeholders.