AI Developer Trainee (Fresher) – Hyd

Round 1: Technical – coding and AI concepts → Round 2: Technical – system design and agentic AI → Round 3: HR – cultural fit and motivation

Pragma Edge fosters a collaborative and inclusive work environment where innovation is encouraged. Employees enjoy a balanced work‑life culture, continuous learning opportunities, and a clear path for career advancement.

Candidates typically go through two technical rounds focusing on coding, data structures, and AI concepts, followed by an HR round. The technical rounds are moderately challenging, with questions on Python, PyTorch/TensorFlow, and LLM fine‑tuning. Interviewers often ask about recent projects and how you approached problem‑solving. Preparation with coding practice and mock interviews helps in performing well.

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields. Minimum 60% aggregate in final year or equivalent. No backlog policy; however, candidates with a strong academic record and relevant projects are preferred.

Pragma Edge is a prominent IT services and consulting firm headquartered in Hyderabad, known for delivering cutting‑edge technology solutions across domains such as AI, cloud, and digital transformation. With a portfolio that spans Fortune 500 clients and a culture that champions innovation, the company has positioned itself as a leader in harnessing emerging technologies to solve complex business challenges. The AI Developer Trainee (Fresher) role is designed for recent graduates who are passionate about Agentic AI and large language models (LLMs). As a trainee, you will work closely with senior AI engineers to design, develop, and deploy intelligent systems that leverage multi‑agent frameworks like CrewAI, LangGraph, AutoGen, and LangChain. Your day‑to‑day responsibilities will include fine‑tuning pre‑trained LLMs (Mistral, Gemini, OpenAI models), building autonomous agent workflows, and integrating these models with APIs, memory stores, and vector databases. Key Responsibilities: 1. Design and implement agent‑based architectures using modern frameworks. 2. Build multi‑agent workflows for task orchestration and autonomous decision‑making. 3. Fine‑tune and adapt pre‑trained LLMs for domain‑specific tasks. 4. Develop NLP solutions for summarization, classification, and text generation. 5. Preprocess and analyze large‑scale datasets in collaboration with data engineering. 6. Implement evaluation metrics and optimize models for latency and scalability. 7. Collaborate with research, product, and engineering teams to integrate new AI capabilities. 8. Maintain technical documentation and present findings to stakeholders. 9. Stay updated on the latest advancements in LLMs, agentic architectures, and AI safety. 10. Contribute to internal or open‑source model repositories. Tech Stack: Python, PyTorch/TensorFlow, LangChain, AutoGen, LangGraph, Mistral, Gemini, OpenAI APIs, vector databases (e.g., Pinecone, Weaviate), IBM Cloud, AWS, GCP, Azure. Growth Path: Trainees who demonstrate strong problem‑solving and collaboration skills can progress to Junior AI Engineer, then Senior AI Engineer, and eventually lead AI research or product teams. The company offers continuous learning through internal workshops, certifications, and conference sponsorships. Why Join Pragma Edge? The firm offers a collaborative environment where fresh ideas are encouraged, a clear career ladder, competitive compensation, and exposure to high‑impact projects for Fortune 500 clients. Employees enjoy a healthy work‑life balance, flexible shift options, and a culture that values innovation and ethical AI practices. With a focus on Agentic AI, this role provides a unique opportunity to work on cutting‑edge technology while building a solid foundation in AI engineering. If you are eager to learn, experiment, and contribute to real‑world AI solutions, this position is an ideal starting point for your career.