Senior Software Engineer

Nerdio is dedicated to simplifying the lives of IT professionals and maximizing their investments in Microsoft cloud technologies. They are seeking a Senior Software Engineer to design and build an internal AI Enablement Platform that enhances productivity through AI tools and workflows, collaborating closely with executive leadership.

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