Intelligent Utility Services Specialist

Há 2 dias


Brasília DF, Brasil beBeeInnovator Tempo inteiro

Job Title: Senior AI Engineer We 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 optimization Back-End Integration - Build APIs, microservices, and orchestration frameworks that seamlessly connect AI models with enterprise systems and grid-level data flows Pipeline Ownership - Design and manage the complete AI pipeline ingestion, embeddings, retrieval, evaluation, and continuous deployment, ensuring reliability and scalability AI Risk Mitigation - Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, and hallucination control with sensitivity to regulated environments Cross-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 release Required Experience: Excellent English communication skills 5+ years of applied ML/AI engineering experience, ideally with exposure to enterprise/mission-critical systems Strong 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 equivalent Experience with vector databases, orchestration frameworks, and modern MLOps practices Track record of deploying AI services in production Strong grounding in cloud-native architectures (AWS, GCP, Azure) Analytical, collaborative, and comfortable with ambiguity Ability to thrive in small, high-velocity teams, balancing experimentation with production rigor Benefits: 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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