AI Engineer — Explosive AI demand pulls in tech pros eager for opportunities.

BoxNCase • Commack, NY

4d • $80,000 - $220,000 • Remote

About The Position

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.

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.

Nice To Haves

• Core: Python, PyTorch, TensorFlow
• AI Tools: LangChain, Hugging Face, LlamaIndex
• Databases: Pinecone, Weaviate, PostgreSQL (Vector)
• Cloud: AWS, Azure, GCP

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed