AI Engineer | Python | AI Agents | Machine Learning | Full Stack | Remote
# AI Engineer | Python | AI Agents | Machine Learning | Full Stack | Remote **E Edge Technology Pvt Ltd** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-Engineer]` `[Machine-Learning-Engineer]` `[Full-Stack-Developer]` `[Python-Developer]` `[Software-Engineer]` `[Remote-AI-Engineer]` `[Python-AI-Engineer]` `[Mid-Level-Full-Stack-AI-Developer-(Python-Azure)]` `[Full-Stack-AI-Engineer]` `[AI-Full-Stack-Engineer]` --- ### About the Role Category: IT Services Location: Summary: We are seeking a highly motivated and technically proficient AI Engineer to join our innovative IT Services team. In this role, you will be at the forefront of designing, developing, and deploying intelligent AI-driven solutions that power next-generation applications. You will work on building scalable AI agents, integrating machine learning models into full-stack web applications, and leveraging cloud-native architectures to deliver high-performance, real-time intelligent systems. Your expertise in Python, AI agents, and full-stack development will be instrumental in transforming complex business problems into automated, data-driven solutions. This is a remote position offering the opportunity to collaborate with cross-functional teams on cutting-edge projects that push the boundaries of artificial intelligence and software engineering. The ideal candidate is passionate about innovation, has a strong foundation in data science and machine learning, and thrives in agile, fast-paced environments. Responsibilities: - Design, develop, and deploy AI agents using Agentic AI frameworks such as LangChain and LangGraph. - Build and optimize machine learning models using TensorFlow, Python, and NLP techniques for real-world applications. - Develop and maintain RESTful APIs and web services to integrate AI models into full-stack applications. - Implement scalable data pipelines for ingestion, processing, and transformation using SQL, Pandas, and data processing tools. - Work with cloud platforms (AWS) to deploy, monitor, and manage AI services and infrastructure. - Collaborate with frontend and backend teams to integrate AI capabilities into React.js and Node.js applications. - Ensure data integrity and performance by working with PostgreSQL, MongoDB, and other database systems. - Participate in code reviews, version control (GitHub), and CI/CD workflows to maintain high code quality. - Contribute to the end-to-end lifecycle of AI products—from concept and prototyping to deployment and monitoring. - Stay current with advancements in AI, machine learning, and full-stack development to drive innovation. Requirements Requirements: - 0-5 years of professional experience in AI engineering, machine learning, or full-stack development. - Proficiency in Python , JavaScript , React.js , and Node.js for full-stack application development. - Advanced experience with machine learning , natural language processing (NLP) , and AI agent frameworks (LangChain, LangGraph). - Hands-on expertise with TensorFlow , REST API , and web service development. - Mastery of SQL , PostgreSQL , MongoDB , and data processing using Pandas . - Proven experience with AWS for cloud-based AI model deployment and infrastructure management. - Strong command of GitHub for version control and collaborative development. - Deep understanding of AI integration into production applications and system architecture. - Exceptional problem-solving skills, attention to detail, and ability to work independently in a remote setting. - Bachelor’s degree in Computer Science, Data Science, AI, or a related technical field. Remote Benefits Benefits - Flexible Work From Home / Remote opportunity - Competitive salary based on experience and skills - Opportunity to work on real-world AI and Machine Learning projects - Career growth and learning opportunities in AI technologies - Collaborative and supportive work environment - Exposure to modern tools, frameworks, and cloud technologies - Hands-on experience with scalable AI applications - Performance-based growth opportunities - Work-life balance and flexible working hours - Opportunity to contribute to innovative and impactful projects Details Originally posted on Himalayas
- AI-Engineer
- Machine-Learning-Engineer
- Full-Stack-Developer
- Python-Developer
- Software-Engineer
- Remote-AI-Engineer
- Python-AI-Engineer
- Mid-Level-Full-Stack-AI-Developer-(Python-Azure)
- Full-Stack-AI-Engineer
- AI-Full-Stack-Engineer
Наблюдалась 2026-10-08, впервые 2026-10-07, источник — Himalayas (JSON API).