About the Role
We are looking for a passionate and driven AI/ML Engineer with 1–2 years of experience in Artificial Intelligence, Machine Learning, and Generative AI. The ideal candidate should have hands-on experience or a strong background in working with Large Language Models (LLMs), fine-tuning techniques, and LangChain framework integration.
You will be responsible for building and optimizing intelligent agents, Retrieval-Augmented Generation (RAG) pipelines, and dynamic AI workflows tailored for real-world applications in the blockchain and AI automation space.
Key Responsibilities
- Fine-tune and train Large Language Models (LLMs) using open-source frameworks and proprietary datasets.
- Develop and deploy LangChain-based intelligent agents for custom workflows (RAG, Tool Calling, Memory).
- Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases such as FAISS, Chroma, Weaviate, or Qdrant.
- Work with Hugging Face Transformers, OpenAI, Anthropic APIs, and other foundation model platforms.
- Apply prompt engineering techniques to improve model outputs and agent performance.
- Optimize datasets, training pipelines, and workflows for efficiency, scalability, and accuracy.
- Collaborate with backend teams to deploy models using Docker and FastAPI.
- Monitor model performance and continuously improve AI systems.
Qualifications
- B.Tech / M.Tech / B.Sc / M.Sc in Computer Science, Artificial Intelligence, Data Science, or a related field.
- A strong project portfolio, GitHub repository, or published AI demos is highly preferred. Please include relevant links in your resume.
Benefits
- Paid Sick Leave
- Paid Time Off
- Provident Fund (PF)
- Work From Home (as applicable)