This is a remote position.
Job Summary
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
- Deep Learning
- Basic NLP concepts
- Generative AI
- Large Language Models
- Prompt engineering
- Familiarity with APIs and JSON
- Basic understanding of databases
- Familiarity with LangChain or similar LLM application frameworks
Benefits
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.
