Beyond the qualifications, we hire through a specific lens. These aren’t buzzwords; they’re the things we’ll actually look for in how you talk about your work.
You’re a builder, not a maintainer.
You’re most energized when there isn’t a clear path yet, and you get to define it. You don’t wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Sr. AI Software Engineers don’t just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.
You’re AI-curious - genuinely.
You’re not using AI tools occasionally. You’re rewiring how you work around them. You’re faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.
•
Deep hands-on experience building and shipping LLM-powered systems, including retrieval-augmented generation, tool use, and agent orchestration frameworks.
•
Strong technical depth in system design, including choosing the right architecture, identifying failure modes early, and making tradeoffs that hold up across the product lifecycle.
•
Experience owning technical quality beyond your own features, including setting standards, catching problems in review, and improving shared infrastructure and tooling.
•
Strong command of model evaluation, including designing evaluation suites, reasoning about overfitting and bias-variance tradeoffs, and systematically detecting and mitigating hallucinations.
•
Solid understanding of modern model architectures, including transformers and diffusion models, with the judgment to decide when and how to apply them.
•
Production AI experience, including model deployment, monitoring pipelines, and latency, cost, and reliability optimization in a live environment.
•
Strong full-stack fundamentals with the ability to work across backend and frontend systems to ship complete, user-facing AI products.
•
Exceptional communication skills with the ability to explain complex technical decisions clearly to engineers, product managers, and executives.
•
Demonstrated product thinking, including the ability to ask whether something should be built before deciding how to build it.