AI Developer Trainee

Round 1: Online Aptitude Test → Round 2: Technical Interview (Python, ML frameworks, LLM concepts) → Round 3: HR Interview

Pragma Edge promotes a collaborative and fast‑paced environment where engineers are encouraged to experiment and iterate quickly. Employees benefit from regular knowledge‑sharing sessions, clear growth pathways, and a supportive leadership team that values work‑life balance despite the dynamic nature of AI projects.

Candidates typically face a three‑stage process: an initial timed aptitude test, followed by a technical interview that probes Python proficiency, understanding of ML libraries, and basic LLM concepts, and finally an HR round focusing on cultural fit and communication skills. The difficulty is moderate, and thorough preparation on coding and AI fundamentals greatly improves success chances.

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science or related fields; minimum 60% aggregate (or CGPA 6.0/10); batch years 2024‑2026; no active backlogs at the time of application; strong academic record in programming and mathematics.

Pragma Edge is an emerging AI‑focused technology firm headquartered in Hyderabad, Telangana. The company specializes in building end‑to‑end intelligent solutions for enterprises, ranging from conversational agents to autonomous workflow orchestrators. With a strong emphasis on research‑driven product development, Pragma Edge has quickly positioned itself as a go‑to partner for businesses looking to harness the power of large language models (LLMs) and multi‑agent systems. The work culture promotes rapid learning, cross‑functional collaboration, and a startup‑like agility that encourages every employee to contribute ideas and see them materialise into real products. The AI Developer Trainee role is crafted for fresh graduates who are eager to dive deep into the world of modern artificial intelligence. As a trainee, you will be part of a dynamic AI engineering team that designs, builds, and deploys agentic AI applications. Your day‑to‑day responsibilities will blend hands‑on coding, model experimentation, and system integration, giving you a holistic view of the AI product lifecycle. The position offers exposure to cutting‑edge LLMs, natural language processing pipelines, and distributed data‑processing frameworks, making it an ideal launchpad for a long‑term career in AI engineering. **Key Responsibilities** 1. Develop Python scripts and modules to prototype AI‑driven features. 2. Fine‑tune and evaluate large language models for specific business use‑cases. 3. Implement prompt‑engineering strategies to improve model outputs. 4. Build NLP pipelines for text preprocessing, entity extraction, and sentiment analysis. 5. Design and integrate agentic AI components that can invoke external tools and APIs. 6. Collaborate with senior engineers to create multi‑agent workflows for complex task automation. 7. Optimize model inference and data pipelines for scalability on distributed systems. 8. Conduct performance testing, debugging, and documentation of AI solutions. 9. Participate in code reviews and contribute to best‑practice guidelines. 10. Stay updated with the latest research in LLMs, agentic AI, and related domains. **Tech Stack**: Python, PyTorch/TensorFlow, Hugging Face Transformers, LangChain, Docker, Kubernetes, Kafka, Spark, Git, REST APIs. **Growth Path**: Successful trainees can progress to AI Engineer, Senior AI Engineer, and eventually AI Solutions Architect or Product Lead, with opportunities to lead independent AI projects and mentor new hires. **Why Join Pragma Edge?** The company offers a vibrant learning environment, mentorship from industry experts, and the chance to work on real‑world AI products that impact businesses across sectors. Competitive compensation, flexible shift timings, and a culture that values innovation make Pragma Edge an attractive destination for aspiring AI professionals.