AI Automation Specialist
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As AI Automation Specialist with a strong passion for AI-native software engineering and hands-on expertise in Agentic AI, Generative AI, and autonomous development frameworks. The ideal candidate will be capable of translating business requirements into production-ready applications by leveraging AI-powered development workflows, multi-agent systems, and modern software engineering practices. This role requires the ability to rapidly design, build, test, and deploy customer-specific software solutions using a combination of strong programming skills, telecom OSS knowledge, and AI-assisted development tools.
Responsibilities
- Design, develop, and deploy AI-native, cloud-native, and web-based applications using Go, Java, Python, microservices, and distributed system architectures.
- Build end-to-end software solutions using Agentic AI frameworks, LLMs, and AI-assisted development tools to accelerate software delivery.
- Develop scalable backend services, REST APIs, automation platforms, and enterprise applications using Spring Boot and event-driven architectures.
- Design and orchestrate AI agents, multi-agent systems, autonomous workflows, and intelligent copilots to automate engineering and business processes.
- Integrate Generative AI, LLMs, RAG pipelines, MCP-based integrations, and AI assistants into telecom OSS and enterprise applications.
- Leverage AI-powered tools such as GitHub Copilot, Cursor, Claude, and ChatGPT for code generation, testing, debugging, documentation, and deployment.
- Build scalable, secure, and resilient applications using Docker, Kubernetes, Kafka, and modern cloud-native technologies.
- Collaborate with cross-functional teams to deliver customer-specific solutions, optimize performance and code quality, and adopt emerging AI technologies to improve productivity and innovation.
Qualifications
You have:
Bachelor’s degree in Engineering (B.E./B.Tech) with 5–10 years of relevant software engineering experience and the ability to design, develop, and deliver production-ready software solutions.
- Strong proficiency in Go and/or Java, with expertise in microservices, APIs, distributed systems, and cloud-native development.
- Hands-on experience with Agentic AI, Generative AI, LLMs, AI agents, RAG, and MCP-based integrations.
- Expertise in AI coding assistants and autonomous development tools such as GitHub Copilot, Cursor, and Claude to accelerate software development.
It would be nice if you also had:
- Ability to build intelligent applications integrating AI-driven reasoning, orchestration, and automation with traditional software engineering.
- Experience with Docker, Kubernetes, Kafka, cloud-native architectures, and CI/CD pipelines.
- Strong understanding of software architecture, design patterns, scalability, engineering best practices, and end-to-end solution development.
- Telecom OSS/BSS experience and knowledge of NETCONF, RESTCONF, YANG, network automation, and AI integration into enterprise applications are strong advantages.
About us
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
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