Nokia
Nokia
Nokia एक वैश्विक B2B प्रौद्योगिकी कंपनी है, जिसका ध्यान दूरसंचार, उद्यम नेटवर्किंग और डिजिटल अवसंरचना पर केंद्रित है। यह सेवा प्रदाताओं, व्यवसायों और सार्वजनिक क्षेत्र के संगठनों के लिए सुरक्षित और सुदृढ़ नेटवर्क समाधान विकसित करती है, जिससे बड़े पैमाने पर लोगों, मशीनों और उपकरणों को जोड़ने में मदद मिलती है। इसके कार्य में 5G, कृत्रिम बुद्धिमत्ता और क्वांटम-सुरक्षित नेटवर्किंग के साथ-साथ Nokia Bell Labs के माध्यम से अनुसंधान और दीर्घकालिक प्रौद्योगिकी विकास शामिल हैं। Nokia में अवसर तलाशने वाले नौकरी आवेदकों को नेटवर्क इंजीनियरिंग, दूरसंचार, उद्यम प्रौद्योगिकी, अवसंरचना और उन्नत अनुसंधान से जुड़े अवसर मिल सकते हैं।

AI Software Engineer at Nokia (Hybrid)

Build enterprise AI and web applications at Nokia, a global connectivity technology company. The role covers cloud infrastructure, CI/CD, identity, databases, and production support.

विवरण

  • Assess business needs and choose suitable technology stacks, frameworks, databases, and deployment architectures for AI and non-AI solutions
  • Build and maintain AI-enabled and web applications with Python, Django or Flask, FastAPI, React, REST APIs, LLMs, RAG, and agentic AI frameworks including LangChain and LangGraph
  • Provision and operate application infrastructure on OpenStack and Azure, including virtual machines, hosting, Nginx, HTTPS/TLS, and related services
  • Administer Azure identity and application authentication through Microsoft Entra ID, App Registrations, application permissions, OAuth, and secure Azure integrations
  • Set up and manage GitLab repositories, contributor permissions, branching and review practices, GitLab Runners on virtual machines, and CI/CD pipelines
  • Administer PostgreSQL databases, covering connectivity, migrations, backups, and deployment-related changes
  • Launch projects, create initial technical implementations, define coding and architecture standards, and onboard developers
  • Keep technical specifications, architecture records, deployment processes, and operational documentation current
  • Use AI-assisted development tools such as Cursor and GitHub Copilot, and create reusable guidance for AI coding assistants
  • Diagnose problems across application, LLM-Gateway API, application API, database, infrastructure, and deployment layers
  • Work with internal platform, security, and technology teams while managing secrets and credentials through KeyVaults

आवश्यकताएँ

  • Bachelor’s degree
  • 5–8 years of Python software development experience using Django, Flask, FastAPI, or comparable frameworks
  • Experience developing LLM and generative AI applications, RAG solutions, and AI agents with LangChain, LangGraph, or comparable frameworks
  • Strong knowledge of Git, GitLab, CI/CD, REST APIs, PostgreSQL, and application deployment
  • Practical experience with cloud or virtualized infrastructure, preferably Azure and OpenStack
  • Experience with Nginx, HTTPS/TLS, Linux or Windows server environments, and application services
  • Working knowledge of React and JavaScript for maintaining web applications
  • Experience with AI-assisted coding tools such as Cursor, GitHub Copilot, or comparable tools
  • Strong troubleshooting ability and the capacity to independently take applications from requirements and design through development, deployment, and production support
  • Ability to investigate emerging AI, software, cloud, and developer technologies, quickly build proofs of concept, and identify enterprise use cases
  • Nice to have: Docker or Kubernetes, Terraform, Ansible, and PowerShell
  • Nice to have: Azure AI or Azure OpenAI, vector databases or pgVector, MCP, AI evaluation and observability, RAGAS evaluation, machine learning, and fine-tuning
  • Nice to have: enterprise identity, authentication, and security platforms
  • Nice to have: integrations with SharePoint, Power BI, Power Apps, and Microsoft Copilot Studio

लाभ

  • Flexible and hybrid work arrangements
  • At least 90 days of maternity and paternity leave, with an option to return within one year after a child’s birth or adoption, subject to eligibility
  • Life insurance for all employees
  • Well-being initiatives supporting mental and physical health
  • Opportunities to participate in and receive support from Nokia Employee Resource Groups
  • Employee Growth Solutions for personalized career and skills development
  • Access to a diverse network of coaches and mentors
  • A learning culture that encourages personal growth and professional development
  • Laptop ordering support

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