AI Engineer

• Build and deploy end-to-end AI/ML solutions, from data pipelines and feature engineering to model training and inference
• Develop and maintain data pipelines for ingesting, transforming, and preparing data for analytics and machine learning
• Write clean, modular, and maintainable code to support scalable AI applications
• Integrate machine learning models into applications using APIs, services, and microservices
• Test, debug, and improve model performance to ensure reliability and accuracy in production
• Work with large datasets to uncover insights and improve model outcomes
• Use modern development practices including version control, CI/CD, and containerization to ship high-quality code
• Experiment with new AI tools, frameworks, and technologies to solve client problems more effectively
• Collaborate with cross-functional teams to prototype, iterate, and deliver solutions quickly
• Contribute to reusable code, tools, and best practices that improve team efficiency
• Partner with clients to understand problems, gather feedback, and deliver solutions that meet real business needs

Desired Skills & Experience:

• 3+ years of hands-on experience building software solutions, with exposure to AI, machine learning, or data-driven applications
• Proficiency in Python and experience writing production-quality code
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
• Familiarity with building and deploying applications in cloud environments (Azure, AWS, or GCP)
• Experience working with APIs and integrating external services, including AI/LLM APIs (e.g., OpenAI, Azure OpenAI, Gemini)
• Exposure to generative AI concepts such as prompt engineering or retrieval-augmented generation (RAG)
• Understanding of data pipelines and basic data engineering concepts (ETL/ELT)
• Familiarity with Git, CI/CD pipelines, and containerization tools like Docker (Kubernetes is a plus)
• Strong problem-solving skills and a willingness to learn and adapt in a fast-moving space
• Comfortable working in a collaborative, client-facing environment

Education:

• Bachelor’s degree in information technology, computer science or equivalent job-related experience required.