Junior AI Developer

Job Description:

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.