Staff AI Engineer

Job not on LinkedIn

🔥 1 minute ago

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Chicago Career Tech

Chicago Career Tech

11 - 50 employees

📚 Education

Education

Chicago Career Tech is a Chicago-based organization focused on career and technical education (CTE) and workforce development. Based on the company name and typical usage of “Career Tech,” it likely provides vocational training, short-term workforce programs, and career readiness services aimed at preparing learners for in-demand jobs in the Chicago area. The provided text contained only LinkedIn boilerplate, so this description relies on the organization name and common sector practice — please verify specific services directly with the company.

📋 Description

• Contribute to the AI vision and roadmap for Gupy Platform products, bringing technical perspective to product and business decisions • Architect and lead the development of AI systems in production: from experiment to deployment at scale • Make build vs. buy vs. fine-tune decisions for models and AI solutions • Integrate LLMs, foundation models and generative solutions into Gupy products • Establish technical standards, best practices and an AI Engineering culture within the team • Collaborate with PMs, designers and software engineers to embed intelligence into products • Mentor and develop engineers on the AI/ML team • Evaluate new technologies and models (LLMs, diffusion, multimodal) and recommend strategic adoption • Lead AI governance initiatives, including quality assessment, bias evaluation and AI ethics • Actively participate in hiring decisions and team building

🎯 Requirements

• Generative AI and LLMs • Experience with fine-tuning, RAG (Retrieval-Augmented Generation) and LLM evaluation • Integration of foundation models • Advanced prompt engineering and design of AI pipelines • Applied NLP — a plus if in HR or matching contexts • Advanced Python (production-grade, not just notebooks) • Deep learning: PyTorch and/or TensorFlow • Statistics, linear algebra, optimization theory • Recommender systems and ranking models • Cloud (AWS/GCP) for AI/ML workloads • Production ML pipelines (MLflow, Kubeflow, Airflow) • Low-latency model serving, Docker, Kubernetes • Observability and monitoring of production models • Architecture definition and trade-off decision-making in AI systems • Cross-team influence without hierarchical authority • Clear communication with non-technical stakeholders • Mentorship and development of engineering staff

🏖️ Benefits

• Flexible working hours (yes, even for remote work) • Meal allowance on the Caju card • Medical plan 100% covered by Gupy for you, with cost-sharing for legal dependents • Dental plan • Life insurance • Home office allowance • Mental health support through benefits such as Zenklub • Physical health support through benefits like Gympass • 6-month maternity leave • 6-month paternity leave • 5-day marriage leave • Internal recognition with our Gupy Coins, redeemable as credit on your Caju card (rewards like Netflix vouchers, Spotify vouchers, pizza vouchers, gamer vouchers, romantic dinner vouchers) • Day off on your birthday • Creditas payroll-deducted loans with lower interest rates • Creditas financial education with exclusive content to help you improve your financial literacy • Creditas Store, a shop where you can purchase products or services with payment deducted directly from your payroll • Férias&Co, annual credits to help you organize vacations by purchasing accommodation and flights in Brazil and worldwide via subscription. We subsidize part of the monthly fee and you decide whether to enroll • Woba: allows Gupiers to find coworking spaces to work around Brazil • Opportunity to become a partner/shareholder of Gupy

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