Back End Developer

About GadrielCheck below to see if you have what is needed for this opportunity, and if so, make an application asap. Gadriel is the AI System Assurance company. AI is now writing code, making decisions, and running inside production systems, and most teams can't prove any of it works before it ships. We validate what AI writes, what AI does, and what it's deployed into, before release. Our founders have 25 years in enterprise cybersecurity and hold three USPTO patents. We're building the validation layer that teams will need for every AI system they deploy.The role We're hiring a Backend Engineer to build the core validation engines and services behind our products. You'll work on deterministic, reproducible validation: the same input gives the same result every time. This is systems work, not prompt wrangling.What you'll doDesign and build backend services and analysis engines that validate AI-generated code and AI system behaviorImplement validation techniques that are mathematically grounded and reproducible, not "LLM-as-judge"Build high-throughput, reliable pipelines that run locally, in CI/CD, and in customer environmentsIntegrate with AI coding tools, agent frameworks, and enterprise systemsOwn services end to end, from design through productionWork directly with the founders and shape the architectureWhat we're looking forStrong backend engineering skills in Python, Go, or C++. Deep in one is enough; we don't need all three. xhyhwjd Solid fundamentals: distributed systems, APIs, concurrency, performance, testingA working understanding of AI concepts: LLMs, agents, RAG, embeddings, and how these systems failComfort reading and reasoning about code you didn't writeOwnership. You ship, you measure, you fix.Nice to haveExperience with static analysis, security tooling, or developer toolsFamiliarity with agent protocols such as MCPBackground in applied math, statistics, or information theoryExperience in a startup or early-stage environmentWhy GadrielReal technical depth in a new categoryFounder-led team with enterprise credibility and patented IPFully remoteEarly-team ownership and influenceCompensation: [range] + [equity]To applyUse apply feature from LinkedIn