AI / Generative AI Engineer – Fresher / Trainee
We are looking for highly motivated fresh graduates who are interested in Artificial Intelligence, Machine Learning, and Generative AI.
The candidate should have strong programming fundamentals and a willingness to learn modern AI technologies such as LLMs, prompt engineering, embeddings, vector databases, RAG, and AI APIs.
Key Responsibilities
- Assist in developing AI-powered applications.
- Work with AI/ML models and APIs.
- Develop and test prompts for Large Language Models (LLMs).
- Integrate AI capabilities into web and backend applications.
- Assist in developing RAG (Retrieval-Augmented Generation) solutions.
- Work with embeddings and vector databases.
- Perform data preprocessing and basic analysis.
- Evaluate AI-generated responses for accuracy and relevance.
- Develop prototypes and proof-of-concepts using AI technologies.
- Research and evaluate new AI/LLM technologies.
- Collaborate with software engineers to integrate AI features into production applications.
Requirements
Educational Qualification
B.E./B.Tech in Computer Science, AI/ML, Data Science, IT, Electronics, or related field. MCA/M.Sc. candidates may also be considered.
Required Skills
- Good programming knowledge, preferably Python
- Basic understanding of AI and Machine Learning
- Understanding of:
- Supervised vs. unsupervised learning
- Training and inference
- Basic NLP concepts
- Generative AI
- Familiarity with APIs and JSON
- Basic understanding of databases
- Familiarity with LangChain or similar LLM application frameworks
- Hands-on experience in AI & Generative AI technologies.
- Opportunity to work with LLMs, RAG, embeddings, and vector databases.
- Exposure to real-world AI-powered applications and production projects.
- Learn Prompt Engineering and AI API integration.
- Opportunity to work with modern AI tools and frameworks.
- Develop strong Python and AI/ML development skills.
- Work closely with experienced software and AI engineers.
- Gain experience in research, prototyping, and Proof of Concepts (POCs).
- Build a strong foundation for a career in AI/ML and Generative AI.
- Opportunity to contribute to innovative technology projects.