Software Engineer, AI/ML
Hybrid (New York City, NY)$160k - $250k + equityFull-timePosted 2mo ago
About the role
Interfere is building an operating system for product quality by turning unseen failures into shared, actionable insights. The role focuses on the intelligence layer—agents, ML/LLM pipelines, and evaluation systems—to detect, explain, and fix bugs in real-time within production-grade codebases.
Responsibilities
- Agents that reason about codebases, traces, logs, and runtime behavior to find and explain bugs before users hit them, including the sandboxes they run in and the browsers and web research they use to investigate
- LLM pipelines for triage, root-cause analysis, and automated fix proposals, with the model routing that sends each job to the right model at the right cost
- Detection systems for anomalies in product behavior, performance, and user experience across noisy real-world data
- The evals, datasets, observability, and feedback loops that move us from "this prompt feels good" to "this system measurably works and is getting better"
- The context engineering that lets a model actually understand a customer's codebase: retrieval, indexing, context construction, and the integrations into their stack
- Systems that get sharper over time, turning every bug found and fixed into signal that improves the next detection, so continual learning is a product advantage rather than an afterthought
Qualifications
- You've shipped ML or LLM-powered systems into production, where real users depend on the output, not just a notebook or a demo
- You move between research and engineering comfortably, and you pick up unfamiliar tech fast. You can go from a new framework or technique on Monday, to a working prototype by Friday, to an eval that tells you whether it's actually better the following week
- You can own something 0→1, beginning to end. You can take an ambiguous AI problem, define the next useful step, and ship without waiting for a fully specified plan
- You treat evals as a first-class engineering problem. When the system is making decisions for users, intuition isn't a substitute for measurement
- Experience with agent architectures, tool use, multi-step reasoning, or autonomous workflows in production
Skills
Required:ML/LLM production systemsResearch-to-production workflowEvaluation design
Nice to have:Agent architectures
Benefits
- Health, dental, and vision
- Visa sponsorship for exceptional international candidates
- We'll help you move to New York
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Interfere
Next-gen observability that finds & fixes bugs automatically
developer-toolsdesignai
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