AI Developer Trainee(Fresher) - Hyd

Round 1: Online Aptitude & Coding Test → Round 2: Technical Interview (AI concepts, coding, project discussion) → Round 3: HR Interview (fitment, motivation, salary discussion)

Pragma Edge promotes a collaborative work culture where learning is continuous and ideas are encouraged. Employees enjoy a balanced mix of challenging projects and flexible timings, with regular hackathons and knowledge‑sharing sessions that foster growth. The company emphasizes work‑life balance and provides mentorship programs to accelerate career development.

Candidates report a three‑stage interview process: an initial timed aptitude and coding test, followed by a technical interview focusing on AI fundamentals, LLM concepts, and Python coding, and finally an HR round assessing cultural fit and communication. The difficulty is moderate; thorough preparation on agentic AI frameworks and prompt engineering helps.

Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, Data Science or related fields; minimum 60% aggregate (or CGPA 6.0/10); final year students or recent graduates of 2023‑2026 batches; no active backlogs at the time of joining; strong foundation in programming and mathematics.

Pragma Edge is an emerging IT services and solutions provider headquartered in Hyderabad. The company focuses on cutting‑edge technologies such as artificial intelligence, cloud computing, and data engineering to deliver end‑to‑end digital transformation for clients across banking, healthcare, and e‑commerce sectors. With a young, dynamic workforce and a culture that encourages experimentation, Pragma Edge has quickly built a reputation for delivering innovative AI‑driven products while maintaining a strong emphasis on ethical AI and sustainability. The AI Developer Trainee role is designed for fresh graduates who are passionate about Agentic AI and large language models (LLMs). As an AI Engineer – Agentic AI, you will work under senior mentors to design, develop, and deploy autonomous agent systems that can understand, reason, and act on real‑world tasks. This position offers hands‑on exposure to state‑of‑the‑art frameworks such as CrewAI, LangChain, AutoGen, and LangGraph, as well as cloud‑native model serving platforms like AWS Bedrock and IBM WatsonX. **Key Responsibilities** 1. Design and implement agent‑based architectures using CrewAI, LangGraph, AutoGen, LangChain, or similar frameworks. 2. Build multi‑agent workflows for task orchestration, autonomous decision‑making, and execution. 3. Integrate LLMs with external tools, APIs, and memory systems to enable end‑to‑end solutions. 4. Fine‑tune pre‑trained LLMs (Mistral Large, Gemini Flash, OpenAI models) for domain‑specific tasks such as summarization, classification, and text generation. 5. Preprocess and analyze large‑scale datasets; collaborate with data engineering teams to build scalable pipelines. 6. Implement evaluation metrics, benchmark models, and optimise for latency, throughput, and cost. 7. Contribute to internal or open‑source model repositories and maintain clear technical documentation. 8. Partner with research, product, and engineering teams to translate the latest AI research into production‑ready features. 9. Present findings and demo prototypes to both technical and non‑technical stakeholders. 10. Stay updated on AI safety, alignment, and ethical considerations, ensuring responsible deployment of autonomous agents. **Tech Stack**: Python, PyTorch/TensorFlow, LangChain, CrewAI, AutoGen, LangGraph, AWS/GCP/Azure, IBM WatsonX, Vector DBs (FAISS, Pinecone), RAG pipelines, Docker, Kubernetes. **Growth Path**: Starting as a trainee, you can progress to AI Engineer, Senior AI Engineer, and eventually lead AI product teams or specialize as an LLM Research Engineer. The role offers mentorship, regular knowledge‑sharing sessions, and sponsorship for conferences. **Why Join Pragma Edge?** The company provides a fast‑paced learning environment, exposure to real‑world AI projects, and a supportive culture that values curiosity and ethical AI. Freshers get the chance to work on production‑grade agentic systems early in their career, accelerating skill development and opening doors to high‑impact AI roles.