Junior AI Engineer

Develop AI-powered applications using Python and LLM APIs (OpenAI, Anthropic, Gemini, etc.).

Build and optimize Retrieval-Augmented Generation (RAG) pipelines.

Design effective prompts and evaluate AI model performance.

Integrate AI models into web applications using REST APIs.

Work with vector databases such as Pinecone, Weaviate, Chroma, or pgvector.

Assist in developing AI agents, chatbots, and automation workflows.

Clean, preprocess, and analyze structured and unstructured datasets.

Collaborate with Software Engineers, Product Managers, and QA teams.

Debug, test, and optimize AI applications for performance and scalability.

Document technical designs, experiments, and implementation details.

Stay updated with the latest AI tools, models, and industry trends.

Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.

1–2 years of experience in AI, Machine Learning, or Software Development.

Strong programming skills in Python.

Understanding of machine learning fundamentals.

Basic knowledge of Large Language Models (LLMs) and Generative AI.

Familiarity with REST APIs and Git.

Strong analytical and problem-solving skills.

Excellent communication and teamwork abilities.