Note: The job is a remote job and is open to candidates in USA. Nerdio is a company focused on simplifying IT for professionals and maximizing Microsoft cloud investments. They are looking for a Senior Software Engineer to design and build their internal AI Enablement Platform, working closely with the CEO and R&D team to develop software and workflows that enhance productivity through AI.
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
Skills
- 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
Benefits
- Competitive Base and Incentive Plan
- Stock Options
- Health and Welfare Plans*
- Life and Disability Plans*
- Retirement Plan*
- Unlimited Flexible Paid Time Off, including your birthday off!
- Collaborative Team Culture
- * Benefits for international employees, outside the US, vary by country.
Company Overview
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