AI Developer Trainee (Fresher)

Round 1: Technical coding & AI fundamentals → Round 2: Technical project discussion → Round 3: HR interview

Pragma Edge fosters a collaborative environment with emphasis on continuous learning, mentorship, and project‑based exposure. Employees enjoy a balanced work schedule with a focus on innovation and career progression.

Candidates typically undergo a coding round that tests Python and data structure knowledge, followed by a technical interview covering AI concepts and project discussions. The final HR round assesses cultural fit and communication skills. The overall difficulty is moderate, with an emphasis on problem‑solving and conceptual clarity.

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields. Minimum 60% in qualifying exam (if applicable). No backlog allowed.

Pragma Edge is a fast‑growing technology solutions provider headquartered in Hyderabad, known for its focus on cutting‑edge artificial intelligence and machine learning products. The company has carved a niche in developing Agentic AI solutions that empower businesses to automate complex decision‑making processes. With a culture that encourages experimentation, Pragma Edge offers a vibrant work environment where fresh talent can learn from seasoned engineers and contribute to real‑world projects. The AI Developer Trainee (Fresher) role is designed for recent graduates or candidates with up to two years of experience who are passionate about AI. Trainees will work on Agentic AI projects, assisting senior developers in building, testing, and deploying AI‑driven solutions. The role provides hands‑on exposure to the entire AI development lifecycle, from data ingestion and model training to API integration and performance tuning. Key Responsibilities: 1. Collaborate with senior engineers on Agentic AI projects. 2. Assist in designing and implementing AI models using Python. 3. Participate in data preprocessing, feature engineering, and model evaluation. 4. Contribute to the development of APIs that expose AI functionalities. 5. Perform unit and integration testing of AI components. 6. Debug and optimize AI solutions for scalability. 7. Document code, models, and best practices. 8. Attend knowledge‑sharing sessions and workshops. 9. Provide feedback on user experience and model performance. 10. Stay updated with the latest research in AI and ML. Tech Stack: Python, TensorFlow/PyTorch, scikit‑learn, SQL, RESTful APIs, Docker, Git. Growth Path: Trainees can progress to Junior AI Engineer, then Senior AI Engineer, and eventually lead AI research or product teams. The company supports continuous learning through internal training, conferences, and certifications. Why Join Pragma Edge? The organization offers a supportive learning environment, competitive compensation, and the chance to work on pioneering Agentic AI solutions that impact real businesses. With a focus on mentorship and career development, employees can accelerate their growth while contributing to innovative products. The role is ideal for freshers eager to dive into AI, offering a blend of technical challenges and collaborative teamwork in a dynamic setting.