Junior AI Developer

Junior AI Developer Bangalore, Hybrid About Accuris Accuris is a global information and technology company providing trusted data, intelligence, and workflow solutions to professionals across highly specialized industries. Our solutions empower engineers, researchers, and technical professionals to make informed decisions, improve productivity, and solve complex challenges. By combining deep domain expertise with innovative technology, Accuris is transforming how technical information is accessed, understood, and applied. About the Role We are looking for a curious and technically motivated Junior AI Developer to join our team and contribute to the development of AI-powered applications and intelligent product capabilities. In this role, you will work with experienced developers, AI/ML specialists, and product teams to build, test, and integrate AI-driven solutions. You will gain hands-on exposure to machine learning concepts, large language models (LLMs), data processing, APIs, and AI application development. The ideal candidate has a solid programming foundation, an interest in artificial intelligence, and the ability to learn and apply emerging technologies to practical business and product challenges. Key Responsibilities AI Application Development

Assist in designing, developing, testing, and maintaining AI-powered applications and product features.

Support the integration of AI and machine learning capabilities into existing applications and workflows.

Work with APIs and AI frameworks to build application features that use machine learning models or large language models.

Assist in developing and maintaining prototypes, proof-of-concepts, and production-ready AI features under the guidance of senior team members.

Write clean, modular, maintainable code and follow established engineering practices.

Data Processing and Model Integration

Assist in preparing, cleaning, transforming, and validating data for AI-related applications.

Support the implementation and evaluation of AI/ML models and model-powered services.

Experiment with prompts, model configurations, and retrieval techniques to improve the quality and relevance of AI-generated outputs.

Assist with retrieval-augmented generation (RAG), embeddings, vector search, or document-processing workflows where applicable.

Help evaluate AI outputs for accuracy, relevance, consistency, and reliability.