Software Engineer – AI, APIs & Cloud (Product Engineer)

Posted 4 Days Ago
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Singapore, SGP
In-Office
Senior level
Artificial Intelligence • HR Tech • Information Technology • Professional Services
The Role
Hands-on software engineer building MVPs and production-ready API- and AI-enabled cloud solutions. Responsibilities include end-to-end design, API/backend development, integrations with telecom and enterprise platforms, prototyping with LLMs/Agentic AI, cloud-native deployment (Kubernetes/CI-CD), and collaborating with product, security, and partner teams.
Summary Generated by Built In

Role: Software Engineer – AI, APIs & Cloud (Product Engineer)
Location: Singapore

We are partnering with a leading organisation to hire a Software Engineer – AI, APIs & Cloud (Product Engineer) with 8+ years of software engineering experience to design, build, and deliver innovative digital products, MVPs, and production-ready solutions. The role focuses on API platforms, Agentic AI, telecom network APIs, digital trust, and cloud-native applications.

You will work closely with product, engineering, DevSecOps, security, and external partners to rapidly transform business ideas into scalable products.

Key Responsibilities

Product Engineering

  • Design, develop, and deliver MVPs from concept to production.

  • Translate business requirements into scalable technical solutions.

  • Own the end-to-end development lifecycle including design, coding, testing, deployment, and support.

  • Build reusable components and accelerate product commercialization.

API & Backend Development

  • Develop secure REST APIs, microservices, and backend services using Python, Java, Go, or Node.js.

  • Integrate enterprise platforms, cloud services, and partner APIs.

  • Develop solutions leveraging OpenAPI, event-driven architectures, and modern integration patterns.

Agentic AI & Digital Platforms

  • Build AI-enabled applications using LLMs, SLMs, AI Agents, MCP, RAG, and AI workflows.

  • Develop secure AI-to-API integrations and contribute to the organization's Agentic AI framework.

  • Prototype and evaluate emerging AI technologies for commercial adoption.

Telecom & Trust Solutions

  • Develop solutions using telecom APIs including Number Verify, SIM Swap, eSIM, authentication, and digital identity.

  • Support integrations with GSMA Open Gateway, CAMARA, and TM Forum ecosystems.

  • Build trust-layer capabilities for enterprise and consumer digital services.

Cloud & Innovation

  • Develop and deploy cloud-native applications using containers, Kubernetes, CI/CD, and microservices.

  • Collaborate with DevSecOps teams on deployment, monitoring, and operational excellence.

  • Explore emerging technologies including API security, cryptographic platforms, secrets management, and quantum-safe security.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.

  • 8+ years of hands on software engineering experience.

  • Strong programming skills in Python, Java, Go, or Node.js.

  • Experience building APIs, backend services, cloud-native applications, and enterprise integrations.

  • Proven ability to take products from concept to MVP and production.

  • Strong analytical, debugging, and problem-solving skills.

Preferred Qualifications

  • Experience with Generative AI, Agentic AI, LLMs, MCP, and RAG.

  • Knowledge of API management platforms and telecom APIs.

  • Exposure to digital identity, cybersecurity, and trust platforms.

  • Interest in cryptographic security, secrets management, HSMs, and quantum-safe technologies.

#LI-KI1

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
  • 8+ years of hands-on software engineering experience
  • Strong programming skills in Python, Java, Go, or Node.js
  • Proven experience building and delivering software products or MVPs
  • Experience in backend development, API development, microservices, cloud-native applications, and enterprise integrations
  • Experience taking solutions from idea → prototype → production
  • Strong debugging and problem-solving skills
  • Ability to work independently and deliver production-quality software
  • Experience building AI-powered applications
  • Exposure to Agentic AI frameworks, LLM applications, MCP, RAG, and AI automation workflows
  • Experience with telecom platforms and APIs (e.g., GSMA Open Gateway, CAMARA, TM Forum)
  • Experience with API management platforms
  • Exposure to digital identity and cybersecurity concepts
  • Interest in emerging technologies such as quantum-safe security and cryptographic technologies
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The Company
HQ: Singapore
31 Employees
Year Founded: 2023

What We Do

Cygnify offers Talent Acquisition as a Service (TAaaS), providing a fully-managed team of experts, AI tools, and a candidate database on a flexible, month-to-month subscription model.

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