Senior Software Engineer

Nerdio is a company dedicated to simplifying the lives of IT professionals by maximizing their Microsoft cloud investments. The Senior Software Engineer will design and build Nerdio’s internal AI Enablement Platform, working closely with the CEO to develop tools and workflows that enhance productivity through AI integration.

Responsibilities:

• Design, build, and maintain internal AI enablement tools, services, and developer workflows
• Build integrations that connect AI capabilities with internal systems, knowledge sources, and day-to-day workflows
• Translate ambiguous productivity problems into practical engineering solutions and reusable platform capabilities
• Develop and iterate on prototypes, proofs of concept, and production-ready implementations
• Help establish durable engineering patterns, documentation, and operational practices for the platform
• Use AI-assisted development tools extensively to design, implement, test, debug, and refactor software
• Bring strong practical experience with Claude-based development workflows, including using Claude for code generation, architecture exploration, testing support, and iterative problem solving
• Evaluate and improve prompt, context, orchestration, and retrieval patterns to increase quality, reliability, and speed
• Apply responsible AI engineering practices, including security, privacy, access control, and safe handling of internal data
• Implement and integrate Microsoft identity and authentication systems, including Entra ID, Agent 365, and Microsoft 365 services — this is a critical area of technical expertise for this role
• Navigate and solve complex identity and authentication challenges across the Microsoft ecosystem with deep, hands-on understanding
• Design and build integrations that correctly leverage Microsoft’s identity infrastructure, including OAuth/OIDC flows, conditional access, and enterprise auth patterns
• Apply deep knowledge of the full Microsoft IT stack — not just the developer stack, but the IT stack: Entra ID, Agent 365, Microsoft 365, Azure, and their interdependencies
• Work directly with the CEO and executive leadership to understand platform vision and translate it into engineering priorities
• Partner with product, design, architecture, security, and business stakeholders to identify high-value AI enablement opportunities
• Support rollout, onboarding, and internal enablement by helping teams adopt new AI-powered workflows effectively
• Communicate technical tradeoffs, implementation plans, and outcomes clearly to technical and non-technical audiences
• Deliver features and services end-to-end, from design and implementation through testing, deployment, and iteration
• Write clean, maintainable, well-tested code and contribute to sound engineering standards and review practices
• Instrument systems, monitor usage, and help measure the impact of AI enablement on productivity and quality
• Improve reliability, performance, and maintainability through thoughtful architecture, automation, and continuous refinement
• Stay current on emerging AI engineering tools and techniques and apply them pragmatically where they create real value

Requirements:

• 5+ years of software engineering experience building production systems in SaaS, cloud, or enterprise software environments
• Deep, hands-on knowledge of the Microsoft IT stack — including Entra ID, Azure, and Microsoft 365 — with expertise in identity and authentication architecture
• Strong hands-on coding skills and software design fundamentals, with experience building services, integrations, APIs, and internal platforms
• Demonstrated experience using AI-assisted development tools in real engineering workflows, with especially strong familiarity with Claude-based development
• Experience translating ambiguous requirements into robust technical solutions and iterating quickly from prototype to production
• Excellent problem-solving, debugging, and communication skills
• Comfortable operating in high-ambiguity, high-intensity, fast-paced environments and working across multiple disciplines
• Experience building LLM-powered applications, agent workflows, automation systems, or internal developer tools
• Familiarity with prompt engineering, context management, retrieval patterns, evaluation workflows, and model/tool orchestration
• Experience with Entra ID configuration, conditional access, OAuth/OIDC flows, and enterprise auth patterns in the Microsoft ecosystem
• Experience with CI/CD, observability, and secure enterprise software delivery practices
• Interest in emerging AI engineering trends and a strong point of view on how tools like Claude can improve software development quality and velocity