Overview

AI Engineer / Junior AI Engineer with strong programming fundamentals, good problem-solving ability, and a clear understanding of Data Structures, Algorithms, Machine Learning, and modern AI concepts.

Responsibilities

• Develop and support AI-based internal tools and automation accelerators.
• Write clean and maintainable code using Python, Java, or JavaScript.
• Apply Data Structures and Algorithms to solve logical and coding problems.
• Work on AI-assisted test case generation, test script generation, and automation productivity tools.
• Support RAG-based solutions for requirement understanding, document processing, and test asset generation.
• Assist in building utilities for test data generation, file comparison, data validation, and automation support.
• Understand and apply basic Machine Learning and NLP concepts in practical use cases.
• Work with LLMs, prompts, embeddings, vector databases, and retrieval-based workflows.
• Collaborate with QA automation architects, developers, and business teams to convert requirements into AI-enabled solutions.
• Debug issues, analyze outputs, improve accuracy, and optimize generated results.
• Learn and adapt to new AI frameworks, models, APIs, and automation tools.

Qualifications

• NLP, LLM and Transformer Awareness Tools and Frameworks:
• Python libraries such as NumPy, Pandas, Scikit-learn, or similar.
• Basic exposure to AI/LLM frameworks such as LangChain, LlamaIndex, Hugging Face, OpenAI-compatible APIs, or similar tools. (Refer document shared for details)