Gen AI Engineer (DataBricks Exp is mandatory)

8–10 years of overall experience in AI/ML and software development.

Minimum 3+ years of hands-on experience in Python programming.

Strong experience implementing real-world GenAI projects.

Hands-on experience with LLM fine-tuning and RAG architecture.

Experience building enterprise-level Agentic AI solutions.

Strong knowledge of Agentic AI frameworks such as LangGraph, Google ADK, and CrewAI.

Understanding of open-source and OpenAI LLM models.

Strong experience with RAG pipelines and architecture.

Experience with Vector Databases, embeddings, and semantic search.

Experience implementing Document AI, OCR, and data extraction solutions.

Experience generating structured outputs from unstructured documents.

Databricks integration experience is mandatory.

Exposure to supervised, unsupervised, and reinforcement learning techniques.

Experience with Deep Learning and Natural Language Processing (NLP).

Familiarity with NLP research, industry trends, conferences, and code repositories.

Experience with Streamlit, Flask, and FastAPI.

Strong knowledge of REST APIs and API integrations.

Experience with Docker containers and application deployment.

Proficiency in Python, PyTorch, SQL, and data analysis libraries.

Hands-on experience with OpenAI APIs and related libraries.

Experience developing AI solutions on Azure, AWS, or Google Cloud Platform.

Strong understanding of LLM deployment and production implementation.

Excellent analytical, troubleshooting, and problem-solving skills.