GenAI Engineer

Vaga não está no LinkedIn

🕒 Janeiro 19

🇨🇦 Canadá – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

👻 Score fantasma 46%

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Tiger Analytics

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

🏥 Saúde

📦 Logística

📣 Marketing

Healthcare • Logistics • Marketing

A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.

Descrição

• Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI. • We are looking for a highly skilled **GenAI Engineer** with strong hands-on experience in building, evaluating, and deploying advanced Generative AI systems. The ideal candidate will have deep expertise in agentic frameworks, model fine-tuning, and reinforcement learning, along with a strong focus on experimentation, reliability, and hallucination mitigation beyond prompt engineering.

🎯 Requisitos

• - Design, build, and deploy end-to-end Generative AI and agentic AI solutions for real-world use cases. • - Develop and orchestrate multi-agent workflows using **LangGraph**, **MCP (Model Context Protocol)**, and **A2A (Agent-to-Agent)** communication patterns. • - Fine-tune large language models (LLMs) using supervised fine-tuning (SFT), RLHF, and other advanced techniques to improve task performance and alignment. • - Apply **reinforcement learning** approaches to optimize agent behavior, decision-making, and long-horizon tasks. • - Design and execute rigorous **experimentation frameworks**, including offline/online evaluations, A/B testing, and metric-driven improvements. • - Implement robust strategies for **hallucination reduction**, such as retrieval augmentation, grounding, validation layers, confidence scoring, and self-reflection mechanisms. • - Collaborate with data engineers, product managers, and platform teams to integrate GenAI solutions into production systems. • - Monitor, evaluate, and continuously improve model performance, reliability, latency, and cost. • - Stay up to date with the latest research and advancements in GenAI, agentic systems, and model alignment. • Required Qualifications • - **5+ years of industry experience** in software engineering, machine learning, or AI-focused roles. • - Strong hands-on experience with **LangGraph** and building agentic workflows. • - Practical experience with **MCP (Model Context Protocol)** and **A2A (Agent-to-Agent)** system design. • - Proven experience in **fine-tuning LLMs**, including supervised fine-tuning and reinforcement learning-based methods. • - Solid understanding and application of **reinforcement learning** concepts in production or research settings. • - Strong background in **experimental design**, model evaluation, and statistical analysis. • - Demonstrated ability to reduce hallucinations using techniques beyond creative prompting. • - Proficiency in Python and experience with modern ML/AI frameworks.

🏖️ Benefícios

• Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. • ***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***