• Ability to work autonomously to resolve technical problems. • Strong communication and collaboration with cross-functional teams. • Analytical skills for investigating and solving problems. • Proactive in identifying improvements. • Develop and evolve backend solutions based on microservices, with attention to quality, security and performance. • Implement and maintain REST APIs. • Participate in analysis and resolution of incidents in production environments. • Refactor system features to address technical debt and improve performance. • Work closely with technical areas, maintaining an integrated view of solutions. • Maintenance of legacy systems.

• Design and implement vehicle routing and scheduling algorithms using OR-Tools to generate optimal field assignments • Develop clustering algorithms to group workloads geographically and minimize travel time/cost • Implement constraint models (capacity, time windows, skills, priorities, survey rules) within the optimizer • Integrate the optimizer with the Mojo control system APIs for job intake, execution, and results publishing • Build batch and real-time optimization modes to support both scheduled and on-demand routing • Refactor optimizer components into modular, extensible strategy interfaces for new routing heuristics • Implement data preprocessing pipelines to normalize locations, distances, and travel matrices • Develop automated test harnesses validating solution correctness against known datasets and constraints • Implement “solution quality” scoring metrics (distance, balance, SLA adherence, cost) to evaluate goodness of routes • Create regression benchmarks comparing new algorithm performance vs. baseline outputs • Add parallel processing and scaling support to handle large route sets and high agent counts • Instrument services with logging and metrics to track runtime, solver performance, and solution quality • Package optimizer services for CI/CD deployment with reproducible builds and environment configs • Document routing logic, constraints, integration points, and operational runbooks • Provide production support, tuning, and continuous improvement of optimization heuristics and performance

Role Description We invite a skilled AI Engineer to join our team in building GPU-accelerated video analytics for real-time safety monitoring across large fleets and industrial environments. In this role, you’ll help design and optimize pipelines that detect and track actionable safety events in high-volume video streams. You’ll work on real-world systems that make an impact, collaborating with engineering and product teams to deliver reliable, high-performance solutions. Qualifications - 7+ years of software engineering experience with strong backend skills - 3+ years of experience shipping computer vision solutions to production - Strong Python proficiency - Experience with OpenCV, PyTorch, async I/O frameworks, and API integrations - Hands-on experience with YOLO/Ultralytics or similar object detection frameworks - Experience detecting, labeling, and tracking objects in video - Solid knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation - Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning) - Ability to communicate and collaborate effectively with engineering and product teams - Upper-Intermediate+ English level Requirements - Experience with Azure Event Hub, Blob Storage, Application Insights, or similar (desirable) - Familiarity with Docker, cloud deployments, and production monitoring systems (desirable) - Experience in temporal/sequence analysis for event detection (desirable) - Experience with video analytics in safety, compliance, or industrial/transportation environments (desirable) Key Responsibilities - Develop and maintain robust backend solutions that process video data and deliver actionable insights using pre-trained computer vision models. - Develop and optimize GPU-accelerated video inference pipelines for real-time processing. - Implement, evaluate, and improve object detection models (YOLO or similar). - Build temporal smoothing and tracking logic for safety event detection. - Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools. - Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services. - Add metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs. - Collaborate on dataset curation, labeling, model training, validation, and experiment tracking. - Support containerized deployments (Docker) and assist with monitoring and scaling production workload. Next Steps - Submit a CV in English - Intro call with a Recruiter - Internal interview - Client interview - Offer

Role Description Estamos buscando profissionais com experiência em desenvolvimento backend Java e frontend React, para atuação em projetos de sistemas web, APIs e integrações. - Atuar no desenvolvimento e manutenção de aplicações web utilizando Java e React. - Desenvolver, evoluir e manter APIs REST. - Participar da análise técnica de demandas, propondo soluções escaláveis e sustentáveis. - Atuar em correções, melhorias, sustentação e novas funcionalidades. - Trabalhar de forma integrada com times de produto, UX, QA, arquitetura e infraestrutura. - Garantir boas práticas de desenvolvimento, versionamento, testes e documentação técnica. - Apoiar investigações de incidentes, análise de logs e correção de problemas em ambiente produtivo. Qualifications - Experiência sólida com Java. - Experiência com Spring Boot. - Experiência no desenvolvimento de APIs REST. - Experiência com React. - Conhecimento em JavaScript/TypeScript. - Conhecimento em HTML5, CSS3 e consumo de APIs. - Experiência com bancos de dados relacionais, como Oracle, PostgreSQL, MySQL ou SQL Server. - Conhecimento em Git. - Experiência com testes unitários e/ou integrados. - Noções de arquitetura em camadas, clean code e boas práticas de desenvolvimento. Requirements - Experiência com microsserviços. - Conhecimento em Docker. - Conhecimento em cloud, como AWS, Azure ou GCP. - Experiência com CI/CD. - Conhecimento em mensageria, como Kafka, RabbitMQ ou similares. - Conhecimento em autenticação e autorização, como JWT, OAuth2 ou Keycloak. - Experiência com Sonar, Jenkins, GitHub Actions, GitLab CI ou ferramentas similares. - Vivência com metodologias ágeis, como Scrum ou Kanban. Benefits - CLT: Salário fixo + pacote de benefícios informados. Company Description Com mais de 70 anos de história e o olhar voltado para o futuro, somos movidos pelo propósito de construir jeitos mais humanos e prazerosos de viver coletivamente nas cidades. Na Lello, acreditamos que viver é um ato coletivo, por isso colocamos as pessoas no centro da jornada e usamos a tecnologia com empatia para simplificar processos e fortalecer conexões. Mais do que administrar imóveis e condomínios, cultivamos vínculos que transformam o cotidiano e regeneram a vida nas cidades. Se você busca um ambiente que valoriza o bem-estar, a colaboração, a diversidade e a inovação com propósito, aqui é o seu lugar. Lello. Viver une.