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

May 28, 2026

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: <ul> <li>Design, develop, and deploy AI agents using Agentic AI frameworks such as LangChain and LangGraph. </li> <li>Build and optimize machine learning models using TensorFlow, Python, and NLP techniques for real-world applications. </li> <li>Develop and maintain RESTful APIs and web services to integrate AI models into full-stack applications. </li> <li>Implement scalable data pipelines for ingestion, processing, and transformation using SQL, Pandas, and data processing tools. </li> <li>Work with cloud platforms (AWS) to deploy, monitor, and manage AI services and infrastructure. </li> <li>Collaborate with frontend and backend teams to integrate AI capabilities into React.js and Node.js applications. </li> <li>Ensure data integrity and performance by working with PostgreSQL, MongoDB, and other database systems. </li> <li>Participate in code reviews, version control (GitHub), and CI/CD workflows to maintain high code quality. </li> <li>Contribute to the end-to-end lifecycle of AI products—from concept and prototyping to deployment and monitoring. </li> <li>Stay current with advancements in AI, machine learning, and full-stack development to drive innovation. </li> </ul> <h3>Requirements</h3> Requirements: <ul> <li>0-5 years of professional experience in AI engineering, machine learning, or full-stack development. </li> <li>Proficiency in Python, JavaScript, React.js, and Node.js for full-stack application development. </li> <li>Advanced experience with machine learning, natural language processing (NLP), and AI agent frameworks (LangChain, LangGraph). </li> <li>Hands-on expertise with TensorFlow, REST API, and web service development. </li> <li>Mastery of SQL, PostgreSQL, MongoDB, and data processing using Pandas. </li> <li>Proven experience with AWS for cloud-based AI model deployment and infrastructure management. </li> <li>Strong command of GitHub for version control and collaborative development. </li> <li>Deep understanding of AI integration into production applications and system architecture. </li> <li>Exceptional problem-solving skills, attention to detail, and ability to work independently in a remote setting. </li> <li>Bachelor’s degree in Computer Science, Data Science, AI, or a related technical field. </li> </ul> Remote ${Salary} <h3>Benefits</h3> <h2>Benefits </h2> <ul> <li>Flexible Work From Home / Remote opportunity </li> <li>Competitive salary based on experience and skills </li> <li>Opportunity to work on real-world AI and Machine Learning projects </li> <li>Career growth and learning opportunities in AI technologies </li> <li>Collaborative and supportive work environment </li> <li>Exposure to modern tools, frameworks, and cloud technologies </li> <li>Hands-on experience with scalable AI applications </li> <li>Performance-based growth opportunities </li> <li>Work-life balance and flexible working hours </li> <li>Opportunity to contribute to innovative and impactful projects </li> </ul>

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