LLM Engineer / AI Engineer

AIKONIC FUTURE TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading AI technology firm in Singapore is seeking an experienced AI Application Developer to lead the development of LLM-based projects. Responsibilities include designing, training, and deploying models, along with collaborating with teams to create innovative AI applications. The ideal candidate holds a bachelor's degree and has experience in AI SaaS, strong proficiency in Python, and excellent communication skills in English and Mandarin.

Benefits

Competitive compensation and equity incentives

Opportunities for professional growth

Flexible work arrangements

Qualifications

• 2 years of experience in AI SaaS or LLM-based application development.
• Experience in model fine-tuning, deployment, or integration.
• Strong communication skills in English and Mandarin.

Responsibilities

• Participate in core research and integration of LLM-based projects.
• Design and deploy models based on Transformer architectures.
• Collaborate with teams to deliver real-world AI applications.

Skills

LLM architectures understanding

Python proficiency

Prompt engineering experience

Model evaluation metrics

Education

Bachelor's degree in a relevant field

Tools

PyTorch

TensorFlow

AWS

Azure

GCP

Job description

Key Responsibilities

• Participate in core research, development, and integration of LLM-based projects.
• Design, train, fine-tune, and deploy models based on Transformer architectures (e.g., GPT, Gemini, LLaMA, Deepseek).
• Independently handle model optimization, evaluation, and inference performance improvements .
• Conduct prompt engineering to enhance model controllability, consistency, and safety.
• Implement evaluation, safety, and reliability mechanisms for LLMs, ensuring robust deployment in production environments.
• Build agentic AI systems by integrating APIs, contextual memory, and reasoning capabilities to accomplish complex tasks.
• Collaborate with product and engineering teams to deliver real-world AI applications , including automation, analytics, and intelligent assistants.
• Stay updated on advancements in open-source LLM ecosystems and contribute to model research or open-source communities when applicable.

Qualifications

Education & Background

• Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• Around 2 years of experience in AI SaaS or LLM-based application development, including model fine-tuning, deployment, or integration.
• Prior project experience in the education, legal, or financial sectors will be an advantage.

Technical Skills

• Deep understanding of LLM architectures (e.g., Transformer, RAG, instruction-tuning, quantization).
• Proficiency in Python and at least one AI framework ( PyTorch , TensorFlow , or similar).
• Practical experience in prompt engineering , fine-tuning , or reinforcement learning with human feedback (RLHF) .
• Skilled in model evaluation metrics (accuracy, hallucination control, bias testing, safety alignment).
• Experience deploying models via cloud AI services (AWS, Azure, GCP) or containerized environments .
• Familiarity with LangChain, MCP protocol, or agentic frameworks is a plus.
• Open-source contributions or published AI research papers are highly valued.

Other Requirements

• Strong communication skills in both English and Mandarin; ability to communicate effectively with regional colleagues and partners is an advantage.
• Able to work independently and learn new technologies quickly.
• Highly self-motivated, with the ability to deliver results in a fast-paced environment.
• Passionate about AI-driven product development and intelligent systems.

What We Offer

• Competitive compensation and growth-oriented equity incentives.
• Opportunities to work alongside leading AI entrepreneurs and technical experts.
• An open, collaborative, and innovation-driven culture.
• Flexible work arrangements and strong support for professional growth.
• The opportunity to help build next-generation Agentic AI platforms for industries such as education, legal, and finance.