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RAPSYS TECHNOLOGIES PTE LTD

Software Engineer with Artificial Intelligence (AI)

RAPSYS TECHNOLOGIES PTE LTD
Singapore · Full-time · Entry

Role:Software Engineer with Artificial Intelligence (AI)

Location:Kallang

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Qualifications:

  • Bachelor's in Computer Science, Software Engineering, or a related technical field.
  • 3+ years of experience as a Software Engineer with a demonstrable focus on AI/ML projects.
  • Strong proficiency in Python and experience with relevant AI/ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy.
  • Experience in deploying and scaling machine learning models, including Large Language Models, in a production environment.
  • Solid understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services, including services relevant to LLM deployment (e.g., managed inference endpoints).
  • Hands-on experience with containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with CI/CD pipelines and MLOps principles, with specific understanding of how they apply to LLMs.
  • Experience with API development and integration, including building APIs for interacting with LLMs.
  • Strong understanding of software development principles, data structures, and algorithms.
  • Excellent problem-solving, analytical, and debugging skills, including the ability to troubleshoot issues specific to LLM behavior.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment, including discussing the nuances of LLM capabilities and limitations.
  • Have experience working with Large Language Models (LLMs) and Transformer architectures (e.g., GPT, BERT, Llama, DeepSeek). This includes practical experience in prompt engineering, fine-tuning, evaluation, and deployment of LLMs.

Preferred Qualifications

  • Experience with specific AI domains such as Natural Language Processing (NLP), Computer Vision, or Recommendation Systems, with a good exposure on how LLMs can be applied within these domains.
  • Specific experience in deploying and optimizing LLMs for low-latency inference and high throughput.
  • Familiarity with big data technologies (e.g., Spark, Hadoop), especially in the context of processing large text datasets for LLM training or application.
  • Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) for tracking the performance and behavior of LLM applications.
  • Contributions to open-source AI/ML or LLM-related projects.
  • Experience working in an agile development environment.

Key Skills

Ranked by relevance

ai natural language processing artificial intelligence containerization machine learning data structures computer vision prometheus tensorflow big data grafana pytorch python docker pandas hadoop cloud spark mlops cicd aws gcp elk
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Posted
Apr 08, 2025
Type
Full-time
Level
Entry
Location
Singapore

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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