Generative AI Engineer

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Weekday

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

👗 Fashion

🛒 Retail

🛍️ eCommerce

Fashion • Retail • eCommerce

Weekday is your everyday paradox wrapped in denim—unapologetic, unpredictable, and always evolving. Discover our full range of men’s and women’s fashion, from statement Weekday jeans and perfectly imperfect suiting to comfort-first underwear and bold pop culture-inspired graphic prints. Build your wardrobe with Astro jeans and chunky scuba pieces, ideal for creating relaxed yet modern outfits. Explore essential mini and maxi skirts, oversized shirts, short sleeve tops, and lightweight jackets—all available in muted tones and bold seasonal hues. Whether you're styling half-tucked tees or layered looks, Weekday offers statement pieces and versatile basics to fit your mood, your moment, and your everyday, embracing the many true expressions of youth.

📋 Description

• Role involves consulting and creating AI/GenAI solutions for clients • Collaborate with clients to understand their requirements and present tailored solutions • Work on software development and implementation of AI technologies • Engage in prompt engineering, architecture, and enterprise architecture with a focus on Generative AI • Conduct statistical analysis and create machine learning models

🎯 Requirements

• Experience in AI/GenAI solution for prompt engineering, architecture, consulting, and enterprise architecture • Experience in software development • Excellent communication skills (customer facing position) • A deep understanding of GenAI/ML technologies and their implementations • Experience in the financial, healthcare, or insurance industries is a plus • Bachelor's/Master's degree in Computer Science/data science or related field • Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python • Solid understanding and experience in designing, implementing, and optimizing end-to-end machine learning pipelines. • Minimum 5+ years of experience in Generative AI and Minimum 2+ years in traditional Machine Learning, with a focus on the creation, training, and deployment of services such as recommendation engines, deep learning, and generative AI models. • LLM (GPT); prompt engineering for reflex, model and self-learning agents • Facility with Python to code wrappers, interface with APIs, develop utilities • Experience with packages such as LangChain and LangGraph • Experience with assembling intelligent AI agents to implement variety of use cases • A recent use case for Agentic AI powered by LLMs: NLQ to SQL translator • You MUST have the ability to think through clearly for a solution design, • Experienced in Large Language Models, Transformers, CNN, TensorFlow, Scikit-learn, Pytorch, NLP libraries, Embedding Models, Vector Databases • Hands-on experience with OpenAI, Llama/Llama2 and other open-source models, and Azure OpenAI models Education- Engineering, Math and Statistics foundation, (Data Science/Computer Science preferred)