Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 20 hours ago

M01 - Senior AI Platform Engineer

FPT Asia Pacific Pte Ltd258 open roles

Where
Singapore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowM01 - Senior AI Platform 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

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.3% 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 5 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: first seen 20 hours ago

FPT Asia Pacific Pte Ltd median: 5 days open

The posting

Role Overview

We are looking for an experienced Senior AI Platform Engineer (Full Stack) to design, develop, and maintain a centralised AI Foundation Platform that enables secure, scalable, and reliable AI capabilities across enterprise applications.

The successful candidate will be responsible for developing AI platform services, integrating large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) solutions, and building reusable AI components.

You will also play a key role in developing agentic AI infrastructure, managing cloud-based AI services, and ensuring that AI solutions meet enterprise security, performance, and governance requirements.

Key Responsibilities

  • Design, develop, and maintain a centralised AI Foundation Platform using Amazon Bedrock to support AI-powered applications and services.
  • Build and manage secure AI infrastructure, including model access, provisioning, quotas, API integrations, and service configurations.
  • Develop full-stack platform services, including backend APIs, middleware, administrative dashboards, and self-service portals.
  • Integrate AI capabilities with enterprise applications and data sources to enable intelligent automation and contextual AI responses.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines, knowledge bases, embeddings, and vector databases.
  • Support model customisation, prompt management, fine-tuning, and domain-specific AI knowledge development.
  • Develop reusable AI platform components, APIs, connectors, and shared services for enterprise-wide adoption.
  • Optimise AI platform performance, latency, throughput, scalability, availability, and operational costs.
  • Monitor Amazon Bedrock consumption and recommend cost optimisation strategies, including model selection, prompt caching, and provisioned throughput.
  • Implement secure AI infrastructure using Identity and Access Management (IAM), network isolation, encryption, and secrets management.
  • Develop Infrastructure-as-Code (IaC) solutions and CI/CD pipelines to automate infrastructure provisioning, deployment, and release management.
  • Deploy and maintain monitoring and observability tools to track AI platform performance, service utilisation, and system health.
  • Troubleshoot infrastructure and application issues, perform root cause analysis, and support incident management.
  • Design and implement agentic AI infrastructure using technologies such as Amazon Bedrock Agents, AgentCore, and other AI orchestration frameworks.
  • Develop reusable AI agents, tools, connectors, and orchestration patterns, including multi-agent workflows.
  • Implement agent identity management, least-privilege access controls, secure tool execution, and approved agent registries.
  • Configure agent usage limits, including token consumption, API rates, execution steps, timeouts, and spending thresholds.
  • Implement agent observability using distributed tracing, logging, metrics, and alerting to monitor model calls, tool execution, and agent decisions.
  • Support the integration of agentic AI capabilities into enterprise applications and business workflows.
  • Collaborate with solution architects, DevSecOps engineers, and application development teams to deliver end-to-end AI solutions.
  • Conduct code reviews, architecture reviews, and technical assessments to ensure engineering quality.
  • Prepare technical documentation, architecture designs, operational runbooks, and onboarding guides.
  • Support security reviews, architecture submissions, and compliance with relevant ICT security requirements, including IM8 and System Security Plan (SSP).

Requirements

  • Diploma or Degree in Computer Science, Computer Engineering, Information Technology, or a related discipline.
  • Minimum 5 years of relevant experience in full-stack development, cloud engineering, or AI platform engineering.
  • At least 2 years of practical experience working with AI/ML or Generative AI technologies.
  • Hands-on experience in at least 2 full software development lifecycles.
  • Strong hands-on experience with AWS services, particularly Amazon Bedrock, SageMaker, Lambda, API Gateway, S3, OpenSearch, IAM, VPC, CloudWatch, and KMS.
  • Strong programming skills in Python and JavaScript/TypeScript.
  • Experience developing RESTful APIs using frameworks such as FastAPI or Node.js.
  • Experience developing web applications using React, Angular, or similar frontend frameworks.
  • Hands-on experience building RAG pipelines, integrating LLM APIs, and working with embeddings and vector databases.
  • Experience with Infrastructure-as-Code tools such as Terraform, AWS CDK, or CloudFormation.
  • Experience implementing CI/CD pipelines and working with DevOps tools such as GitLab, Jira, Bitbucket, and Confluence.
  • Knowledge of containerisation and orchestration technologies such as Docker and Kubernetes.
  • Strong understanding of cloud security, identity and access management, encryption, and data protection controls.
  • Hands-on experience developing agentic AI systems, including tool calling, multi-agent orchestration, and agent memory.
  • Experience with AI orchestration frameworks such as Amazon Bedrock Agents, LangGraph, or Strands Agents.
  • Familiarity with integrating AI agents and tools through APIs or Model Context Protocol (MCP).
  • Understanding of AI observability, distributed tracing, SLIs/SLOs, and monitoring frameworks.
  • Knowledge of government ICT security requirements, including IM8 and SSP, and their application to AI platform security and governance.
  • Strong troubleshooting, analytical, and problem-solving skills.
  • Comfortable working in Agile development environments.
  • Excellent communication, documentation, and stakeholder management skills.

Added Advantages

  • Experience with Government Commercial Cloud (GCC) and government ICT security requirements.
  • AWS certifications such as Solutions Architect, Machine Learning Specialty, or Generative AI Developer.
  • Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Amazon Bedrock Agents.
  • Experience implementing AI solutions in the public sector, legal industry, or other regulated environments.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against FPT Asia Pacific Pte Ltd's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on FPT Asia Pacific Pte Ltd's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    FPT Asia Pacific Pte Ltd's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.