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A dynamic tech company in Ahmedabad is seeking a Junior AI Developer to join their innovative AI team. This position is ideal for candidates with 1-2 years of experience interested in AI tools and frameworks. Responsibilities include building AI chatbots, developing workflows with RAG pipelines, and collaborating with product teams. Applicants should have a degree in Computer Science or related field and a basic knowledge of Python and AI technologies. This role offers an opportunity to grow into a full-stack AI engineer.
We are looking for a Junior AI Developer to join our AI team. This role is ideal for someone with 1–2 years of experience who has worked with AI tools and frameworks, and is eager to grow into a full-stack AI engineer. You will support the development of AI chatbots, workflows, and Retrieval-Augmented Generation (RAG) pipelines, while gaining hands-on experience with LLMs (Large Language Models), data preparation, and workflow automation.
Key Responsibilities
Assist in building and maintaining AI-powered chatbots for customer and internal use cases.
Support development of workflows that integrate AI with business systems and APIs.
Learn and implement RAG pipelines with vector databases (FAISS, Chroma, Pinecone, etc.).
Help with fine-tuning and training LLMs on company-specific datasets.
Work with senior developers to prepare, clean, and organize data for model training.
Collaborate with product and engineering teams to translate requirements into AI solutions.
Document and test AI workflows, ensuring reproducibility and stability.
Skills & Qualifications
Bachelor’s degree in Computer Science, AI/ML, Data Science, or related field (or equivalent practical experience).
1–2 years of experience in AI/ML, NLP, or chatbot development projects (internships, academic projects, or industry).
Basic knowledge of Python and familiarity with frameworks like LangChain, LlamaIndex, or Hugging Face.
Exposure to LLMs (OpenAI, LLaMA, Mistral, Falcon, etc.).
Familiarity with vector databases (FAISS, Pinecone, Weaviate, Chroma).
Understanding of REST APIs and simple integrations.
Eagerness to learn about workflow automation, RAG, and model fine-tuning.
Good communication and collaboration skills.
Nice-to-Have
Exposure to chatbot frameworks (Rasa, Botpress, Dialogflow, etc.).
Familiarity with cloud platforms (AWS, GCP, Azure).
Basic knowledge of MLOps practices (model versioning, CI/CD for AI).
Interest in speech-to-text (STT) / text-to-speech (TTS) technologies.