GenAI Engineer

Required Skills & Experience

5-8 years of experience in AI / ML

Very strong proficiency in Python

Proven expertise in NLP, including:

Text classification , Clustering

Strong experience in data analysis using SQL

Hands-on experience with LLMs:

Prompt engineering , Evaluation frameworks

Retrieval-Augmented Generation (RAG)

Good to Have

Experience with Agentic AI and multi-agent orchestration

Experience with LLMOps / MLOps in production environments

Cloud Experience

Libraries & Tools

Python / ML: NumPy, Pandas, Scikit-learn, XGBoost

NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers

LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK

Agentic AI (Good to Have): LangGraph, AutoGen, CrewAI

Data & SQL: Oracle, MySQL, SQLAlchemy

Vector Databases: FAISS, Pinecone, Weaviate, Qdrant

LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow

5+ Years in AI / ML

• 5-8 years of experience in AI / ML

• Very strong proficiency in Python

• Proven expertise in NLP, including:

• Text classification

• Clustering

• Strong experience in data analysis using SQL

• Hands-on experience with LLMs:

• Prompt engineering

• Evaluation frameworks

• Retrieval-Augmented Generation (RAG)Role & responsibilities

Preferred candidate profile