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 Role

We 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 Responsibilities

• Develop 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 work.

Eligibility

• B.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 Intelligence.

Must-Have Skills

• Python 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 ability.

Good-to-Have Skills

• FastAPI, 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 projects.

Candidates are not expected to know every technology listed above.

Strong programming fundamentals, curiosity, problem-solving ability and learning potential will be given greater importance.

Learning and Career Growth

Selected candidates will receive mentorship, structured learning, hands-on project experience and exposure to modern AI engineering practices.

High-performing trainees may be considered for full-time employment based on performance, project completion, business requirements and organizational policies.