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.