Sr. Software Engineer (Platform + AI)

Bloomerang is a mission-driven company that empowers nonprofits with a powerful giving platform and technology designed to maximize their impact. The Sr. Software Engineer on the Platform Engineering team will build and own the AI harness that drives engineering productivity, focusing on agentic tooling, orchestration, and evaluation infrastructure to make AI-driven development reliable and effective. This role also involves strengthening backend platform services, including authentication and identity solutions, while fostering responsible AI integration across the organization.

Responsibilities:

• Build and own the agentic harness Bloomerang engineering runs on1 agent workflows, tool and model integrations, orchestration, and the guardrails and evaluation infrastructure that keep AI-driven development reliable and safe
• Use the throughput AI-driven development unlocks to follow through on delivery1 ship minimum viable increments, then gather real customer feedback, run A/B tests, measure what shipped, and iterate until it makes a meaningful difference for nonprofits. The work doesnt stop at the MVP; we use the time AI gives back to deliver the functionality, quality, security, and the rest of the -ilities our industry has always wanted to and rarely had time for
• Own cross-cutting AI-platform concerns while standardizing prompt and context pipelines and consolidating local development environments across our products and teams. Keeping token spend efficient without ever trading away quality or completeness
• Continually evaluate new models, AI tools, harnesses, and approaches1 running rigorous evals and turning the winners into paved-road tooling the whole organization can rely on
• Design, build, and own backend services at the core of our platform1 in the near term, our authentication chain (centralized authentication and session management), advancing toward a unified identity solution, primarily in C#/.NET
• Diagnose and resolve complex technical bottlenecks across distributed services and the AI tooling that sits on top of them, leveraging deep knowledge of debugging and observability tools to keep our SaaS platform fast and reliable
• Improve the engineering standards, automation, developer tooling, and AI harness the team relies on
• Help the team deliver in a continuous-flow (Kanban) model1 keeping work moving, surfacing bottlenecks, and continuously improving how we work, including collaborative practices like mob (ensemble) programming
• Use your experience to shape our software and delivery tooling1 raising the bar on engineering standards, teaching and learning alongside the organization, and helping us ship better products for the nonprofits we serve
• Actively explore, integrate, and help lead the responsible use of AI across the team1 shaping Bloomerangs AI culture as we lean into it

Requirements:

• Genuine AI fluency and hands-on experience building with AI—agents, tools, harnesses, prompt and context pipelines, or evals—not just using AI to code faster
• 8+ years of professional software engineering experience building and operating production services—or equivalent demonstrated depth
• Strong C#/.NET proficiency is ideal but not a deal breaker
• A self-directed, senior-level ownership mindset: you can take an ambiguous problem and drive it to a shipped, reliable solution
• Model high standards of technical excellence, ownership, and continuous learning
• Ability to own the quality of your work end to end. You are accountable for what you ship and you raise the quality bar for the codebases and tooling you touch
• Proficiency across a diverse range of frameworks, languages, databases, and tools; strength in C#/.NET is ideal
• Collaborative mindset while partnering with Product, DevOps, and across Engineering to solve broad infrastructure and platform problems
• Actively explore, integrate, and help lead the responsible use of AI across the team—shaping Bloomerang's AI culture as we lean into it
• Familiarity with the agentic-tooling ecosystem (model APIs, MCP, LLM orchestration) is a strong plus
• Experience with foundational platform or distributed systems; authentication, identity, security, MFA, SSO, or session management is a plus
• Comfort in the Python/TypeScript that agentic tooling often lives in is a plus