Gen. AI Developer Trainee

NEW OPPORTUNITY || IMMEDIATE JOINERS REQUIRED - Freshers 2026 Pass Outs Are Welcomed || Position Title:- Gen. AI Developer Trainee Experience:- Freshers Location:- Dehradun, UK (Onsite) About the Rol eWe are looking for enthusiastic 2026 graduates with strong Python fundamentals and interest in Generative AI .As Gen. AI Developer Trainee, you will work in a collaborative, learning-focused environment and gain hands-on experience in building AI powered applications using Python, APIs, Large Language Models, RAG, AI agents and modern AI frameworks . Key Responsibiliti esDevelop and test AI-powered applications using Python.Build and integrate REST APIs, databases, AI models and external services.Assist in developing LLM, RAG and AI-agent-based solutions.Process structured and unstructured data.Write clean, maintainable, and well-documented code.Debug applications and improve performance and reliability.Participate in code reviews, technical discussions, and project wor k. Eligibil ityB.E., B.Tech., MCA, M.Sc. or equivalent qualification in Computer Science, IT, AI, Data Science, or a related discipline.Graduating in 2026.Available to work on-site.Strong interest in software development and Artificial Intelligen ce. Must-Have Sk illsPython programming and Object-Oriented Programming.Data Structures, Algorithms, and problem-solving fundamentals.SQL and relational database basics.Source Code Management tools (Git/GitHub/Bitbucket) basics.REST API, knowledge of NumPy and Pandas.Machine Learning fundamentals including classification, regression, training and validation, overfitting and evaluation metrics.Basic understanding of Generative AI and Large Language Models.Good communication, teamwork and learning abil ity. Good-to-Have S killsFastAPI, Flask, Django or similar frameworks.Prompt engineering, RAG, AI agents, A2A, MCP.LangChain, LlamaIndex, Semantic Kernel or similar frameworks.Vector databases such as FAISS, Chroma, Pinecone, or Qdrant.Hugging Face models or OpenAI-compatible APIs.Embeddings, transformers, and semantic search.scikit-learn, PyTorch, or TensorFlow.Docker, Linux, cloud fundamentals.Academic, personal, internship or open-source AI proj ects. Candidates are not expected to know every technology listed above.Strong programming fundamentals, curiosity, problem-solving ability and learning potential will be given greater impor tance. Learning and Career GrowthSelected candidates will receive mentorship, structured learning, hands-on project experience and exposure to modern AI engineering pra ctices.High-performing trainees may be considered for full-time employment based on performance, project completion, business requirements and organizational po licies. .