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

Cygnify · Singapore · 2026-07-01

FullTimeexecutive
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About this role

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.

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