Junior AI Engineer – LLM

Job Description

Role Overview We are looking for a Junior AI Engineer with a strong understanding of LLMs (GPT, LLaMA, Claude, etc.) to join our growing AI team. The ideal candidate will help build, fine-tune, and integrate LLM-powered solutions for real-world applications in web products and internal tools. Key Responsibilities Assist in building and integrating LLM-based applications using OpenAI API, HuggingFace Transformers, or similar. Fine-tune pre-trained models on specific tasks using custom datasets. Write prompt-engineered workflows for content generation, summarization, chatbots, and automations. Work closely with UI/UX and backend teams to embed AI features into products. Document model behavior, evaluate output quality, and suggest improvements. Required Skills Basic understanding of Natural Language Processing (NLP) and LLM architecture. Hands-on experience with Python, LangChain, or LLM frameworks like Transformers, HuggingFace, OpenAI, etc. Familiarity with REST APIs and JSON formats. Comfortable using Git, Jupyter Notebooks, and API tools like Postman. Good logical thinking and eagerness to learn from senior AI engineers. Bonus Points For Projects or internships involving GPT-based tools. Experience working with vector databases (e.g., Pinecone, ChromaDB). Understanding of prompt chaining and RAG (Retrieval-Augmented Generation). Qualifications Bachelor’s in Computer Science, AI/ML, Data Science, or related fields. 0–2 years of relevant experience (Final year students or freshers with strong AI portfolios are welcome). Passionate about AI, prompt engineering, and building with LLMs. Skills: jupyter notebooks,transformers,langchain,openai,rest apis,natural language processing (nlp),postman,json,nlp,huggingface,git,api,llm architecture,python,llm