AI Software Engineer (Python)

Staffinc
Daerah Khusus Ibukota Jakarta
IDR 200,000,000 - 300,000,000
Job description

Join our internal Engineering team at Staffinc and seize the opportunity to contribute and grow within our dynamic environment!

About Staffinc

Staffinc is Indonesia’s leading digital staffing platform, providing end-to-end workforce solutions:

  1. Staffing: From recruitment to payroll management.
  2. HR System: Simplified hiring, payroll, and benefits.
  3. Procurement & Rental: Essential tools and equipment for workers.

Since 2018, Staffinc has empowered 1.7 million+ workers in 350+ cities, combining people and technology for real impact.

We're looking for an AI Software Engineer to develop and integrate AI models and third-party AI services using Python, LangChain, and OpenAI APIs. You will collaborate with backend, data, and product teams to drive innovation and enhance our products with AI capabilities.

Job Description:

  • Develop, fine-tune, and deploy AI/ML models for various applications.
  • Integrate third-party AI services (e.g., OpenAI APIs) into our existing systems.
  • Design and implement AI-driven workflows using LangChain and other frameworks.
  • Collaborate with backend, data, and product teams to identify AI use cases and deliver solutions.
  • Optimize AI models for performance, scalability, and cost efficiency.
  • Ensure AI solutions adhere to best practices in security, ethics, and compliance.
  • Conduct research on emerging AI technologies and propose improvements to our AI strategy.
  • Maintain and document AI-related architectures, APIs, and workflows.

Requirements:

  • 3-4 years of experience in AI development
  • Strong proficiency in Python and AI-related libraries (e.g., LangChain, OpenAI API, TensorFlow, PyTorch).
  • Experience in building, fine-tuning, and deploying AI models in production environments.
  • Familiarity with integrating AI services into applications.
  • Strong problem-solving and algorithmic thinking skills.
  • Experience with cloud services (AWS, GCP, or Azure) for AI workloads.
  • Good understanding of prompt engineering and LLM-based applications.
  • Ability to collaborate with cross-functional teams.
  • Familiar with version control.
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