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AI Engineer - Remote

United States🌐 Remote💼 Full-time🗓 2026-05-15 → 2026-09-25

Core

Design, build, and deploy AI/ML models and intelligent systems for real-world applications, integrating them into production environments.

Role type

AI Engineer (Generative AI & LLMs)

Builds

AI-powered features, AI pipelines, and scalable AI infrastructure

Domain

AI, Machine Learning, Generative AI, LLMs

Deliverable

production ML models | product features | infrastructure

Required skills

Python, TensorFlow, PyTorch, Scikit-learn, LangChain, LLMs, Generative AI, Prompt Engineering, Vector Databases, Embeddings, RAG, Cloud Platforms (AWS/Azure/GCP), APIs, Microservices, Docker, Git, CI/CD, MLOps

Preferred skills

AI automation tools, Agent frameworks, NLP, Computer Vision, Recommendation Systems, AI SaaS products, Chatbots, FastAPI, Node.js, React

Technologies

TensorFlow, PyTorch, Scikit-learn, LangChain, GPT, Claude, AWS, Azure, Google Cloud, Docker, Git, FastAPI, Node.js, React

Responsibilities

Design, build, and deploy AI/ML models for real-world applications; Develop and optimize AI-powered features using modern frameworks and APIs; Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives; Build AI pipelines for data processing, training, inference, and monitoring; Integrate AI services into web applications, SaaS platforms, and internal tools; Fine-tune and evaluate machine learning models for performance and scalability.

Seniority

Mid-level (2+ years experience)

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