As an AI Software Engineer, you will be responsible for the end-to-end development, deployment, and support of enterprise-grade AI and software solutions. This includes evaluating and selecting technologies, designing scalable architectures, developing applications, managing infrastructure, implementing CI/CD pipelines, overseeing deployments, and providing ongoing production support. Additionally, you will build, maintain, and optimize the technical platforms and engineering practices that enable teams to efficiently collaborate, develop, deploy, and operate these solutions at scale.
ResponsibilitiesYour responsibilities
- Evaluate business requirements and select appropriate technology stacks, application frameworks, databases, and deployment architectures for AI and non-AI solutions.
- Design, develop, and maintain AI-powered and web applications using Python, Django/Flask, FastAPI, React, REST APIs, LLMs, RAG, and agentic AI frameworks such as LangChain/LangGraph.
- Provision and manage application infrastructure across OpenStack and Azure, including VMs, application hosting, Nginx, HTTPS/TLS, and supporting services. (NSSM)
- Manage Azure identity and application authentication, including Microsoft Entra ID (Azure AD), App Registrations, application permissions, OAuth-based authentication, and secure integration of applications with Azure services.
- Establish and maintain GitLab repositories, contributor access, branching/code-review workflows, GitLab Runners in VM, and CI/CD pipelines.
- Manage application PostgreSQL databases, including connectivity, migrations, backups, and deployment-related database changes.
- Initiate new projects, develop the initial technical implementation, establish coding and architecture standards, and onboard other developers for collaborative development.
- Maintain technical specifications, architecture documentation, deployment procedures, and operational documentation for applications.
- Leverage AI-assisted development tools such as Cursor and GitHub Copilot and develop reusable skills/instructions for AI coding assistants.
- Troubleshoot and resolve issues across the application, LLM-Gateway APIs, Application APIs, database, infrastructure, and deployment layers, collaborating with internal platform, security, and technology teams where required. Managing secrets and credentials through KeyVaults (TBD)
Your skills and experience
- 5-8Yrs experience in Python software development experience with Django, Flask, FastAPI, or equivalent frameworks.
- Experience building LLM/GenAI applications, RAG solutions, and AI agents using LangChain, LangGraph, or equivalent frameworks.
- Strong understanding of Git, GitLab, CI/CD, REST APIs, PostgreSQL, and application deployment.
- Working experience with cloud/virtualized infrastructure, preferably Azure and OpenStack.
- Experience with Nginx, HTTPS/TLS, Linux/Windows server environments, and application services.
- Working knowledge of React/JavaScript for maintaining web applications.
- Experience using AI-assisted coding tools such as Cursor, GitHub Copilot, or equivalent.
- Strong troubleshooting skills and the ability to independently take an application from requirement, design, development, deployment to production support.
- Strong appetite for continuous learning and experimentation, with the ability to independently explore emerging AI, software, cloud, and developer technologies, rapidly build proofs-of-concept, and identify opportunities to apply them to enterprise solutions.
Nice-To-Have
- Docker/Kubernetes, Terraform, Ansible, PowerShell.
- Azure AI/Azure OpenAI, vector databases/pgVector, MCP, and AI evaluation/observability, RAGAS RAG evaluation, ML, fine-tuning.
- Experience with enterprise identity, authentication, and security platforms.
- Experience with SharePoint, Power BI, Power Apps, and Microsoft Copilot Studio, including integration with enterprise applications, data sources, workflows, and AI-powered business solutions.
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.
- Flexible and hybrid working schemes
- A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
- Life insurance to all employees to provide peace of mind and financial security
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond
Skills Required
- 5–8 years of Python software development experience with Django, Flask, FastAPI, or equivalent frameworks
- Experience building LLM or generative AI applications, RAG solutions, and AI agents using LangChain, LangGraph, or equivalent frameworks
- Strong understanding of Git, GitLab, CI/CD, REST APIs, PostgreSQL, and application deployment
- 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 using AI-assisted coding tools such as Cursor or GitHub Copilot
- Strong troubleshooting skills and ability to independently take applications from requirements through production support
- Continuous learning, experimentation, proof-of-concept development, and identification of enterprise AI and software opportunities
- Experience with Docker, Kubernetes, Terraform, Ansible, or PowerShell
- Experience with Azure AI, Azure OpenAI, vector databases or pgVector, MCP, AI evaluation or observability, RAGAS, machine learning, or fine-tuning
- Experience with enterprise identity, authentication, and security platforms
- Experience with SharePoint, Power BI, Power Apps, or Microsoft Copilot Studio
Nokia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.
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Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
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Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
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Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.
Nokia Insights
What We Do
At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
