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Open nowFirst seen 3 days ago

M38 - Full Stack Engineer

FPT Asia Pacific Pte Ltd230 open roles

Where
Singapore
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Your applicationOpen nowM38 - Full Stack EngineerFPT Asia Pacific Pte Ltd · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on FPT Asia Pacific Pte Ltd's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. FPT Asia Pacific Pte Ltd postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

FPT Asia Pacific Pte Ltd median: 1 days open

The posting

Overview

We are looking for a Full-Stack Engineer with a strong foundation in software engineering and modern AI technologies. The ideal candidate will have experience building scalable applications, integrating LLM-powered solutions, developing AI agents and RAG systems, and working across the full software development lifecycle. Experience with the Pega platform will be highly advantageous.

Responsibilities

  • Analyse business needs, identify problem statements, and recommend technology solutions to address organisational objectives.
  • Gather, document, and validate functional and technical requirements with stakeholders.
  • Collaborate with business users, vendors, and project teams to clarify requirements, review solution designs, and obtain stakeholder buy-in.
  • Design, develop, test, and deploy scalable software applications that deliver a high-quality user experience.
  • Prepare and maintain architecture diagrams, technical specifications, and system documentation.
  • Work closely with Business Analysts to refine requirements, elaborate user stories, and define acceptance criteria.
  • Support Quality Assurance activities, including test automation, defect analysis, and bug resolution.
  • Partner with DevOps teams to automate build, deployment, and release processes.
  • Drive adoption and ensure smooth deployment of new solutions through stakeholder engagement and support.
  • Assess enhancement requests, evaluate system impacts, and recommend implementation approaches.
  • Investigate and resolve application incidents, perform root cause analysis, and implement preventive measures to minimise recurrence.
  • Apply software engineering best practices including code reviews, unit testing, and continuous improvement methodologies.
  • Ensure solutions comply with IT governance, security standards, quality management policies, and organisational guidelines.

Requirements

  • Degree or Diploma in Computer Science, Information Technology, Computer Engineering, Electronics Engineering, or a related discipline.
  • Technical Skills
  • Strong proficiency in Python, including backend application development and API design using frameworks such as FastAPI.
  • Experience designing AI agent systems with capabilities such as memory, tool usage, planning, and autonomous task execution.
  • Familiarity with REST APIs, web services, secure file transfer (sFTP), and system integration patterns.
  • Experience with software testing, code quality practices, and automated testing frameworks.
  • API integration with platforms such as OpenAI, Anthropic, Gemini, and AWS Bedrock

Solid understanding of Large Language Models (LLMs), including:

  • Tokenisation
  • Context windows
  • Prompt engineering

Hands-on experience building AI-powered applications and agentic workflows using frameworks such as:

  • LangChain
  • LangGraph
  • LlamaIndex

Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, including:

  • Vector databases (e.g. Pinecone, Weaviate, FAISS)
  • Embedding models and retrieval strategies
  • Integration with enterprise knowledge sources

Platform & Infrastructure

Experience in one or more of the following areas:

  • Agile software development methodologies
  • CI/CD pipelines and DevOps practices
  • Cloud platforms such as AWS or GCP
  • Serverless architectures
  • Docker and containerisation technologies

Preferred Experience

  • 2–5 years of experience with the Pega platform.
  • Experience integrating AI and LLM capabilities into Pega applications and workflows.
  • Hands-on participation in at least one end-to-end Pega project implementation.
  • Experience delivering medium to large-scale enterprise or government technology projects.
  • Consulting, Business Analysis, or solutioning experience.
  • Experience facilitating workshops, gathering requirements, and translating them into Agile user stories and acceptance criteria.
  • Experience supporting SIT, UAT planning, execution, and stakeholder sign-off.
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