Box N Case
AI Engineer — Explosive AI demand pulls in tech pros eager for opportunities.
Box N Case, Commack, New York, United States, 11725
AI Engineer — Explosive AI demand pulls in tech pros eager for opportunities.
commack, United States | Posted on 12/16/2025
BoxNCase (www.boxncase.com) is your trusted source for gourmet culinary essentials, serving businesses and individuals across North America. Based in the New York City Area, we take pride in being one of the largest direct importers and wholesalers specializing in the world of Specialty & Fine Foods, offering a diverse array of premium products in club sizes. Our commitment is rooted in bringing you a diverse selection of top-tier specialty and fine food products, thoughtfully sourced from around the globe. Discover a curated selection of chocolates, candies, snacks, spices, condiments, cheeses, teas, and more, all in bulk sizes. Whether you're stocking up for your business or a home chef with a passion for gourmet creations, our easy ordering, proprietary CPG logistic solutions, and US based account managers cater to your unique needs.
Job Description About the Role Join the forefront of the technology revolution. We are seeking an innovative AI Engineer to design, build, and deploy next-generation AI solutions. In this role, you won’t just be implementing APIs—you will be architecting sophisticated Machine Learning pipelines, fine-tuning Large Language Models (LLMs), and solving complex problems that define the future of our industry. If you are passionate about Generative AI, NLP, and building scalable intelligence, we want to hear from you.
What You Will Do
Develop AI Models: Design and implement machine learning models and algorithms to solve specific business challenges.
Build GenAI Applications: Architect applications using LLMs (OpenAI, Llama 2, Anthropic) and RAG (Retrieval-Augmented Generation) pipelines.
Fine-Tuning: Fine-tune pre-trained models on proprietary datasets to improve performance and domain accuracy.
Model Deployment: Deploy and scale AI models into production environments using MLOps best practices (Docker, Kubernetes).
Data Engineering: Collaborate with data teams to clean, preprocess, and manage large datasets for model training.
Stay Cutting-Edge: Continuously research and integrate the latest advancements in AI/ML (e.g., Agents, Vector Databases) into our product stack.
Requirements
Experience: 2+ years of experience in Data Science, Machine Learning Engineering, or AI Research.
Coding Mastery: Expert-level proficiency in Python and familiarity with libraries like Pandas, NumPy, and Scikit-learn.
Deep Learning: Strong experience with frameworks such as PyTorch, TensorFlow, or Keras.
NLP Expertise: Solid understanding of Natural Language Processing techniques, Transformers, and Embeddings.
API Integration: Experience working with APIs (REST/GraphQL) and integrating third-party AI services (OpenAI, Hugging Face).
Cloud Skills: Familiarity with deploying models on AWS (SageMaker), Google Cloud (Vertex AI), or Azure.
Preferred Tech Stack (Keywords)
Core: Python, PyTorch, TensorFlow
Databases: Pinecone, Weaviate, PostgreSQL (Vector)
Salary Range:
$80,000 – $220,000 USD / year (Commensurate with location and seniority)
Remote Flexibility:
Work from anywhere in the world or hybrid options.
Equity:
Stock options available for early hires.
Tech Budget:
Annual stipend for hardware and AI research tools.
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BoxNCase (www.boxncase.com) is your trusted source for gourmet culinary essentials, serving businesses and individuals across North America. Based in the New York City Area, we take pride in being one of the largest direct importers and wholesalers specializing in the world of Specialty & Fine Foods, offering a diverse array of premium products in club sizes. Our commitment is rooted in bringing you a diverse selection of top-tier specialty and fine food products, thoughtfully sourced from around the globe. Discover a curated selection of chocolates, candies, snacks, spices, condiments, cheeses, teas, and more, all in bulk sizes. Whether you're stocking up for your business or a home chef with a passion for gourmet creations, our easy ordering, proprietary CPG logistic solutions, and US based account managers cater to your unique needs.
Job Description About the Role Join the forefront of the technology revolution. We are seeking an innovative AI Engineer to design, build, and deploy next-generation AI solutions. In this role, you won’t just be implementing APIs—you will be architecting sophisticated Machine Learning pipelines, fine-tuning Large Language Models (LLMs), and solving complex problems that define the future of our industry. If you are passionate about Generative AI, NLP, and building scalable intelligence, we want to hear from you.
What You Will Do
Develop AI Models: Design and implement machine learning models and algorithms to solve specific business challenges.
Build GenAI Applications: Architect applications using LLMs (OpenAI, Llama 2, Anthropic) and RAG (Retrieval-Augmented Generation) pipelines.
Fine-Tuning: Fine-tune pre-trained models on proprietary datasets to improve performance and domain accuracy.
Model Deployment: Deploy and scale AI models into production environments using MLOps best practices (Docker, Kubernetes).
Data Engineering: Collaborate with data teams to clean, preprocess, and manage large datasets for model training.
Stay Cutting-Edge: Continuously research and integrate the latest advancements in AI/ML (e.g., Agents, Vector Databases) into our product stack.
Requirements
Experience: 2+ years of experience in Data Science, Machine Learning Engineering, or AI Research.
Coding Mastery: Expert-level proficiency in Python and familiarity with libraries like Pandas, NumPy, and Scikit-learn.
Deep Learning: Strong experience with frameworks such as PyTorch, TensorFlow, or Keras.
NLP Expertise: Solid understanding of Natural Language Processing techniques, Transformers, and Embeddings.
API Integration: Experience working with APIs (REST/GraphQL) and integrating third-party AI services (OpenAI, Hugging Face).
Cloud Skills: Familiarity with deploying models on AWS (SageMaker), Google Cloud (Vertex AI), or Azure.
Preferred Tech Stack (Keywords)
Core: Python, PyTorch, TensorFlow
Databases: Pinecone, Weaviate, PostgreSQL (Vector)
Salary Range:
$80,000 – $220,000 USD / year (Commensurate with location and seniority)
Remote Flexibility:
Work from anywhere in the world or hybrid options.
Equity:
Stock options available for early hires.
Tech Budget:
Annual stipend for hardware and AI research tools.
#J-18808-Ljbffr