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AI Full Stack Engineer - 12 Months Contract

External
BGC GROUP PTE. LTD. logoBgc · Central Plaza, Singapore
S$84K–S$108K/yrContractUnknown1d ago
Information Technology
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Responsibilities

  • Design, build, test, and enhance AI-enabled tools, dashboards, automation workflows, and internal applications for governance, risk, and audit use cases.
  • Integrate LLM APIs and AI capabilities such as prompt workflows, document analysis, RAG systems, AI agents, and automation features.
  • Develop full stack applications including frontend and backend components using modern frameworks.
  • Connect APIs, databases, and external services to support scalable and functional applications.
  • Support deployment, testing, troubleshooting, and production readiness of developed solutions.
  • Participate in requirement gathering, documentation, task tracking, and stakeholder updates.
  • Collaborate with technical teams and domain users to ensure alignment of solutions with business needs.
  • Analyse user feedback and system performance to continuously improve tools and workflows.

Requirements

  • Degree in Computer Science, Software Engineering, Information Systems, AI, Data Science, or a related technical field.
  • 1-3 years of experience in software engineering, full stack development, AI engineering, product development, or related roles.
  • Experience building AI-enabled applications, prototypes, automation workflows, or internal tools.
  • Hands-on experience integrating LLM APIs or AI models into applications (e.g. chat interfaces, document processing tools, prompt workflows, automation systems).
  • Strong full stack development experience using technologies such as React, Next.js, Node.js, Python, FastAPI, Django, or similar frameworks.
  • Experience working with APIs, databases, Git, and basic cloud or application deployment.
  • Technical Skills
  • AI Engineering: LLM APIs, prompt engineering, embeddings, RAG, vector databases, AI agents, model evaluation, guardrails.
  • Full Stack Development: Frontend and backend development, debugging, testing, and system integration.
  • Data & Integration: API integration, database handling, and document/data processing (structured and unstructured data).
  • Software Engineering Practices: Git, testing, documentation, debugging, and writing maintainable code.
  • Deployment & Tools: Basic cloud deployment, CI/CD understanding, and application troubleshooting.
  • Preferred Attributes
  • Strong problem-solving and analytical thinking skills.
  • Ability to learn quickly and adapt to new AI tools and frameworks.
  • Good communication skills to translate technical concepts clearly.
  • Interest in public sector digital governance, risk, and audit domains.
  • Ability to work independently and manage assigned tasks effectively.
  • Key Skills
  • AI Engineering, Full Stack Development, LLM Integration, RAG Systems, Prompt Engineering, React, Next.js, Node.js, Python, FastAPI, Django, API Integration, Database Management, Automation, AI Agents, Software Development, Cloud Deployment
  • Laurence Andaya - R26159876
  • Recruitment Consultant
  • EA 05C3053
  • BGC Group Pte Ltd (Outsourcing)
  • By submitting your resume or personal data, you consent to BGC Group Pte Ltd collecting, using, and
  • disclosing your personal data to our clients and partners for the purpose of evaluating your suitability
  • for job opportunities and related recruitment services. You acknowledge that you have read,
  • understood, and agree to our Privacy Policy for Job Applicants, available at https://bgcgroup.com/notice-for-job-applicants.

Additional Information

Job Overview We are seeking an AI Full Stack Engineer to design and develop AI-enabled tools, applications, and automation workflows supporting governance, risk, and audit functions. The role focuses on building end-to-end solutions that integrate AI/LLM capabilities with modern full stack technologies to improve internal processes and decision-making. You will work closely with technical and domain stakeholders to develop prototypes, production-ready applications, and AI-powered workflows, including LLM integrations, document processing, RAG systems, and automation solutions.


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