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Intelligent utility services specialist

Brasília
beBeeInnovator
Anunciada dia 13 dezembro
Descrição

Job Title: Senior AI EngineerWe are seeking a remote, full-time AI engineer with 5+ years of software and AI/ML engineering experience.Candidates must have a strong background in Python and either Golang, Node.js, or Java expertise, with a strong desire to adopt Golang as the primary back-end technology.In this position, you will be at the heart of our product innovation, responsible for designing, implementing, and operationalizing AI-native services that transform the utility sector.Responsibilities:AI Systems Development - Architect, fine-tune, and deploy AI agents purpose-built for utility use cases, including predictive operations, customer engagement, and energy optimizationBack-End Integration - Build APIs, microservices, and orchestration frameworks that seamlessly connect AI models with enterprise systems and grid-level data flowsPipeline Ownership - Design and manage the complete AI pipeline ingestion, embeddings, retrieval, evaluation, and continuous deployment, ensuring reliability and scalabilityAI Risk Mitigation - Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, and hallucination control with sensitivity to regulated environmentsCross-Functional Collaboration - Partner with software engineers, data specialists, and security teams to integrate AI capabilities into our broader client OS, embedding AI by design into every product releaseRequired Experience:Excellent English communication skills5+ years of applied ML/AI engineering experience, ideally with exposure to enterprise/mission-critical systemsStrong proficiency in Python and either Golang, Node.js, or Java (non-Golang developers will learn and adopt Golang on the job)Expertise with ML/LLM frameworks, such as PyTorch, TensorFlow, LangChain, or equivalentExperience with vector databases, orchestration frameworks, and modern MLOps practicesTrack record of deploying AI services in productionStrong grounding in cloud-native architectures (AWS, GCP, Azure)Analytical, collaborative, and comfortable with ambiguityAbility to thrive in small, high-velocity teams, balancing experimentation with production rigorBenefits:15 days Paid Time Off (PTO), one floating day, three sick days, and designated national holidays. Enjoy a fun, fast-growing entrepreneurial company. Be part of a highly collaborative learning culture, share knowledge, be inclusive, learn, and grow together.

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