Software Engineer AI Intern

We are seeking a highly skilled and innovative Software Engineer (AI) to design, develop, and deploy intelligent software systems that leverage modern AI and machine learning technologies. The ideal candidate will possess a strong background in software development, data science, and AI frameworks, with a passion for building scalable, real-world AI solutions.

• Design, develop, and deploy AI-powered software applications, tools, and APIs.
• Collaborate with cross-functional teams to integrate AI models into production systems.
• Develop and optimize algorithms for natural language processing (NLP), computer vision, or predictive analytics.
• Implement, test, and fine-tune machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Build robust, scalable backend systems using Node.js, Python, or Java.
• Work with structured and unstructured data to train and validate models.
• Implement DevOps and MLOps practices for continuous integration and deployment of AI systems.
• Stay updated with emerging AI technologies, frameworks, and best practices.
• Document software architecture, APIs, and model performance metrics.

• Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field.
• Proven experience as a software engineer or AI developer (13 years minimum).
• Proficiency in Python, JavaScript (Node.js), or Java .
• Experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI API, etc.).
• Knowledge of RESTful API development, cloud services (AWS, Azure, or GCP), and version control (Git) .
• Strong understanding of data structures, algorithms, and software architecture .

• Hands-on experience with LLMs (Large Language Models) and RAG pipelines .
• Knowledge of natural language processing (NLP) , computer vision , or reinforcement learning .
• Experience with containerization and deployment (Docker, Kubernetes).
• Familiarity with data visualization, analytics, and SQL/NoSQL databases .
• Understanding of AI ethics, data security, and compliance (HIPAA/SOC-2) .

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Ability to work in an agile, fast-paced environment.
• Continuous learning mindset with curiosity for innovation.