Elios Talent
Principal AI Engineer – Brazil – Remote
- Innovative Work: Lead groundbreaking AI/ML initiatives, working with cutting-edge technologies to develop and deploy next-generation solutions, including Generative AI and Retrieval-Augmented Generation (RAG)-based systems.
- Growth Opportunity: Elevate your career by driving AI strategy, mentoring top talent, and shaping the future of AI adoption. Gain exposure to complex challenges and high-impact projects that push the boundaries of machine learning.
- Elite Team: Collaborate with industry-leading AI/ML engineers, researchers, and business leaders in a dynamic, high-performance environment. Be surrounded by experts who challenge and inspire innovation at every level.
As we continue to grow, we’re seeking a Principal AI Engineer to lead the strategic direction and technical execution of our most advanced AI initiatives. This is a rare opportunity to shape the future of intelligent data products in a company where innovation and impact go hand-in-hand.
What You’ll Do:
- Provide technical leadership and vision for the design, training, deployment, and scaling of large language models (LLMs) and machine learning systems
- Drive the architecture and development of end-to-end AI solutions, from data pipelines to productionized models with real-world impact
- Lead initiatives on Retrieval-Augmented Generation (RAG) and multi-model orchestration to support advanced product features
- Mentor and guide a team of AI engineers and data scientists, fostering a culture of innovation, collaboration, and technical excellence
- Evaluate and implement emerging technologies, frameworks, and methodologies to keep our AI capabilities at the cutting edge
- Partner closely with engineering, product, and executive leadership to align AI strategy with business goals
- Set standards for code quality, model governance, deployment practices, and AI/ML best practices company-wide
- Write and review high-quality Python code in a production-focused, fast-paced environment
What We’re Looking For:
- 8+ years of experience in AI/ML, with deep expertise in LLMs, generative AI, and applied machine learning
- Demonstrated success in building and scaling complex AI systems in production environments
- Proven ability to design, fine-tune, and operationalize large language models, including open-source and proprietary frameworks
- Advanced knowledge of RAG systems, vector databases, and hybrid model architectures
- Expertise in Python and ML ecosystems (e.g., PyTorch, TensorFlow, Hugging Face, LangChain)
- Strong background in cloud infrastructure and MLOps for scalable AI deployment (e.g., AWS, GCP, Azure)
- Experience leading cross-functional teams and mentoring other engineers
- Exceptional problem-solving, communication, and leadership skills