Senior ai engineer

Há 19 horas

Brasil Elios Talent Tempo inteiro

Senior AI EngineerFull-Time | RemoteApplied AI | LLMs | Agentic Systems | Scalable ML InfrastructureCompany InformationA high-growth technology organization building next-generation AI solutions that enable teams to work faster, smarter, and more efficiently. The company blends strong engineering fundamentals with a product-driven mindset, focusing on models, tools, and intelligent workflows that deliver measurable business impact.You'll join a collaborative environment where experimentation, rigorous engineering, and thoughtful design power the roadmap. The team moves quickly, values autonomy, and invests heavily in modern infrastructure to support advanced research, development, and deployment.Job InformationThe company is looking for a Senior AI Engineer who can architect, build, and optimize production-grade machine learning systems. Someone who understands the full lifecycle—from research and prototyping to scalable deployment—and is comfortable working with LLMs, multi-agent systems, vector search, and complex data pipelines.This is a hands-on role for an engineer who loves solving hard problems, designing elegant systems, and pushing the boundaries of applied AI.Key ResponsibilitiesBuild, fine-tune, and deploy large-scale machine learning and LLM-based systemsDevelop agentic workflows, tool integrations, and memory architecturesDesign high-performance pipelines for training, inference, and data processingCollaborate with product, engineering, and research teams to ship reliable AI featuresEvaluate new models, frameworks, and techniques to drive innovationImplement robust testing, monitoring, and observability across ML systemsOptimize performance, latency, and cost across production workloadsWhat You BringStrong software engineering fundamentals (Python required; bonus for Go, Rust, or Typescript)Deep experience with LLMs, model fine-tuning, embeddings, RAG, or compute-aware optimizationExperience building scalable ML or distributed systems in a cloud environmentFamiliarity with vector databases, orchestration frameworks, and inference optimizationAbility to translate ambiguous technical problems into structured, well-designed solutionsCuriosity, ownership, and a product mindsetBonus PointsExperience with agentic architectures, RL, or memory-augmented modelsExperience building internal ML platforms or developer toolsContributions to open-source AI frameworksAbout UsA mission-driven team passionate about building AI systems that are reliable, scalable, and grounded in real-world value. The culture is hands-on, transparent, highly collaborative, and focused on creating technology that enhances—not replaces—human capability.Why Join UsYou'll work with talented engineers and innovators, own meaningful problems end-to-end, and help shape the next generation of applied AI. Expect autonomy, a modern tech stack, fast decision-making, and the opportunity to ship work that has real impact across thousands of users.

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