Product Engineer–Trust Platforms
About The Role
We are looking for a hands-on
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, HSM 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.
Qualifications
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.
Success Measures
Within the first 12–18 months, you will:
- Deliver multiple MVPs and production-ready solutions.
- Build AI-powered products and API-driven digital services.
- Develop reusable engineering assets and frameworks.
- Support commercialization of innovative digital trust and AI solutions.
- Contribute to the organization's Agentic AI and Trust Platform roadmap.
