Senior - AI Engineer
16 days ago
Granada
Predictable Machines is building the next generation of verifiable AI systems—combining cutting-edge language models with formal verification, functional programming, and mathematical rigor. We're seeking a Verification-Focused AI Engineer who thrives at the intersection of AI capabilities and mathematical precision. We're looking for someone who: • Understands both AI potential and limitations—excited about LLMs but equally passionate about making them reliable, traceable, and mathematically sound., • Embraces functional programming paradigms—comfortable with Kotlin, TypeScript, and compositional system design for building deterministic, verifiable AI workflows., • Has curiosity about formal methods—interested in SMT solvers, logical reasoning, mathematical validation, or formal verification techniques (experience preferred but not required)., • Thinks in systems and workflows—drawn to event-driven architectures, streaming systems, and building complex verification pipelines rather than just prompt engineering., • Computer Science with formal methods exposure, • Mathematics/Logic with programming experience, • Software Engineering with AI/verification interest, • Build verification-first AI systems alongside senior engineers, focusing on Server-Sent Events architectures, streaming workflows, and real-time verification pipelines using Kotlin and TypeScript., • Develop and integrate formal verification tools—work with SMT solvers, logical reasoning systems, and mathematical validation tools to ensure AI outputs are provably correct and traceable., • Design streaming verification workflows that combine factual verification (web search), logical validation (formal methods), and mathematical checking (computational tools) into coherent, auditable pipelines., • Implement TypeScript client libraries and UI components for real-time research steppers, verification progress visualization, and interactive audit trail interfaces with full type safety., • Contribute to Docker-based tool ecosystem—help maintain and extend the 17+ containerized verification tools, MCP server implementations, and automated deployment systems., • Participate in verification methodology research—explore new approaches to AI fact-checking, logical consistency testing, and mathematical validation while maintaining functional programming principles., • Strong foundation in Computer Science, Mathematics, or Engineering—degree preferred but exceptional self-taught candidates with demonstrated systems-building experience welcome., • Proficiency in functional programming languages—experience with Kotlin, TypeScript, or Scala preferred; comfort with immutable data structures, composable functions, and type-safe architectures., • Interest in mathematical reasoning and formal methods—curiosity about logic, proof systems, SMT solvers, or mathematical validation (coursework or personal projects demonstrate this)., • Systems thinking mindset—experience with event-driven architectures, streaming systems, API design, or containerized applications; understanding that AI is part of larger, reliable systems., • Formal methods exposure—coursework or projects involving theorem provers, model checking, constraint solving, or mathematical verification tools., • LLM integration experience—but focused on reliability, evaluation, and systematic testing rather than just prompt engineering., • Functional programming enthusiasm—personal projects or contributions to FP ecosystems; understanding of monads, type systems, or category theory., • Enterprise software experience—authentication systems, multi-tenancy, observability, or building APIs that other developers actually use., • Interest in AI safety/explainability—genuine curiosity about making AI systems transparent, auditable, and mathematically sound., • Hands-on mentorship from experienced AI engineers and researchers., • Opportunity to work on real projects with impact in the AI reliability space., • Flexible, remote-first working environment., • A chance to grow your skills and transition into a full-time role in a fast-growing company., • Access to state-of-the-art AI tools and learning resources.
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