Software Developer

1 day ago


Singapore beBeeDeveloper Full time $70,000 - $100,000

We are looking for a skilled developer to join our team working on cutting-edge projects.

Job Description

The ideal candidate will have strong experience in developing and maintaining Python-based applications, combined with modern full-stack development skills and a passion for integrating AI-powered services.

Mandatory Skill-set:

  • Strong Python skills, with experience in additional scripting languages such as JavaScript, PowerShell, or Bash, ideally used for automation or data analysis;
  • Proficient in querying and handling both structured (SQL) and unstructured data such as (NoSQL, APIs, text files) to support analysis and automation tasks;
  • Skilled in developing effective dashboards with Tableau and QlikView; submission of a portfolio or detailed project examples is mandatory;
  • Skilled in Python (automation, AI/ML), JavaScript/TypeScript (UIs, web triggers), SQL (queries, workflows), and Java or shell scripting for backend automation.

Desired Skill-set:

  • Background in banking or finance, with familiarity in navigating regulatory and compliance requirements;
  • Experience in Process Re-engineering: Skilled in optimizing workflows using improvement methodologies to boost efficiency and eliminate bottlenecks;
  • Proficiency in other languages such as R, offering flexibility for data analysis and advanced automation tasks.

Responsibilities:

  • Hands-on involvement in integrating AI services into applications along with Familiarity with modern full-stack technologies;
  • Understanding of Low-Code AI and Automation: Familiar with tools like Dify.ai, UiPath, or Make, with a solid grasp of AI/ML in automation and quick adaptability to new technologies;
  • Ability to interpret data, recognize patterns, and convert business requirements into automated workflows;
  • Experience with Python-based automation tools like Selenium, Playwright, Airflow, and Pandas;
  • Building internal tools, bots, or custom workflow engines and working with workflow or low-code platforms such as Camunda, Power Automate, or UiPath;
  • exposure with large language models (LLMs) and related tools like OpenAI APIs, Hugging Face Transformers, LangChain, Llama Index, or similar orchestration frameworks;
  • Skilled with vector databases (e.g., FAISS, Pinecone, Weaviate) and experience deploying AI prototypes in internal sandbox environments;
  • Practical understanding of prompt engineering, Retrieval-Augmented Generation (RAG), and applying LLMs within real-world workflows;
  • Experience managing sandbox and staging environments, particularly during MVP and prototyping phases.

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