E Edge Technology Pvt. Ltd. Logo

E Edge Technology Pvt. Ltd.

AI Engineer | Python | AI Agents | Machine Learning | Full Stack | Remote

Posted One Month Ago
Remote
Hiring Remotely in IND
Mid level
Remote
Hiring Remotely in IND
Mid level
Design, build, and deploy AI agents and machine learning models; integrate ML/NLP into full-stack applications; develop APIs and data pipelines; deploy and manage services on AWS; collaborate with frontend/backend teams and maintain CI/CD, databases, and production monitoring.
The summary above was generated by AI

This is a remote position.

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
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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


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