cygnify - Software Engineer – AI, APIs & Cloud (Product Engineer)
Requirements
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a 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. • Strong 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, APIs, or enterprise systems. • Experience with API management platforms. • Exposure to digital identity and cybersecurity concepts. • Interest in emerging technologies such as quantum-safe security and cryptographic technologies.
Responsibilities
• PRODUCT DEVELOPMENT & MVP ENGINEERING • Design, develop, and deliver MVPs from concept to working product. • Translate business requirements and customer use cases into technical solutions. • Own end-to-end engineering delivery, including solution design, coding, API development, integration, testing, deployment, and troubleshooting. • Build scalable software components that can evolve into production products. • Rapidly prototype new ideas and validate technical feasibility. • API & BACKEND ENGINEERING • Develop secure and scalable API-driven applications. • Build backend services using technologies such as Java, Python, Go, or Node.js. • Develop REST APIs, OpenAPI specifications, microservices, and event-driven integrations. • Integrate enterprise platforms, cloud services, and external partner APIs. • Build reusable components and frameworks. • AGENTIC AI & AI PRODUCT ENGINEERING • Develop MVPs and prototypes using Generative AI and Agentic AI technologies. • Build AI-enabled applications using LLMs, SLMs, AI agents, AI workflows, Tool Calling, Model Context Protocol (MCP), and Retrieval-Augmented Generation (RAG). • Develop integrations where AI agents securely interact with APIs, enterprise systems, and digital services. • Experiment with AI frameworks and convert successful prototypes into production-ready products. • TELECOM API & DIGITAL PLATFORM SOLUTIONS • Develop solutions leveraging telecom and enterprise capabilities. • Build integrations for digital services including: • Identity verification (Number Verify, SIM Swap) • Authentication • Device intelligence • Digital trust services based on eSIM/SIM • Enterprise automation • Support development using telecom API ecosystems such as GSMA Open Gateway, CAMARA, and TM Forum APIs. • CLOUD-NATIVE ENGINEERING & DEPLOYMENT • Build and deploy cloud-native applications. • Work with Kubernetes, containers, microservices, cloud platforms, and CI/CD pipelines. • Collaborate with DevSecOps teams to deploy and operate solutions. • Implement monitoring, logging, and operational best practices. • TECHNOLOGY EXPERIMENTATION • Build prototypes and evaluate emerging technologies. • Explore AI platforms, digital identity solutions, security technologies, secrets management, cryptography, and quantum-safe security concepts. • Identify opportunities for future product adoption. • PARTNER INTEGRATION & TECHNICAL COLLABORATION • Work with technology partners and vendors on integrations. • Participate in technical workshops and solution demonstrations. • Support partner onboarding and technical validation. • Provide engineering feedback during product development.
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