AI Technology Strategist

Há 10 horas

Manaus AM, Brasil beBeeArtificialIntelligence Tempo inteiro

Senior AI Engineer Opportunity We are seeking an experienced Senior AI Engineer to join our team and play a key role in designing, implementing, and operationalizing AI-native services that transform the utility sector. As a Senior AI Engineer, you will be at the heart of our product innovation, responsible for combining applied AI/ML expertise with strong back-end engineering skills to ensure our agentic systems are not only functional but scalable, secure, and production-ready. This is an exciting opportunity to work on cutting-edge technology and contribute to the development of our AI-centric operating system for utilities. Our client is building a platform that harnesses AI at the enterprise level to better orchestrate customer delight, facilitate power optimization, improve the health of the grid, and unlock flexibility at scale. Key Responsibilities Architect, fine-tune, and deploy AI agents purpose-built for utility use cases, including predictive operations, customer engagement, and energy optimization. Build APIs, microservices, and orchestration frameworks that seamlessly connect AI models with enterprise systems and grid-level data flows. Design and manage the complete AI pipeline ingestion, embeddings, retrieval, evaluation, and continuous deployment, ensuring reliability and scalability. Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, and hallucination control with sensitivity to regulated environments. Partner with software engineers, data specialists, and security teams to integrate AI capabilities into the broader client OS, embedding AI by design into every product release. Requirements 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 Enjoy a fun, fast-growing entrepreneurial company culture. Be part of a highly collaborative learning culture, share knowledge, be inclusive, learn, and grow together. Recognize your ideas are heard and matter, think big. You get to own your job and be recognized for your contributions. Work with innovative and creative people. Making mistakes is human. Let's learn from them. Be transparent. We recognize you as an individual, with no presumptions or judgment. Be the extraordinary you. 15 days Paid Time Off (PTO), one floating day, three sick days, and designated national holidays.

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