Generative AI Engineer

Gen AI & Agentic AI Developer Developer

Exp : 6-10 Years

Location : Pan India

Must Have Technical / Functional Skills

• GenAI & LLM Frameworks

o Vector Databases (e.g., AWS OpenSearch & Kendra, FAISS, Pinecone)

o Word and Vector Embeddings (e.g., Word2Vec, BERT, Sentence Transformers)

o Python (mandatory), SQL (Postgres), NoSQL (Dynamo DB, Mongo DB), Graph DB (Neo4j,

Neptune)

o Libraries – numpy, pandas, boto3, plotly, matplotlib, seaborn, ggplot, Scikit-learn,

Requests, Beautiful Soup, NLTK)

o ML algorithms (Supervised, Unsupervised and Ensemble) & Deep Learning (using

frameworks like TensorFlow, PyTorch, etc.)

o Web Development frameworks – (Django, Flask, FastAPI)

o Chatbot development using LLMs or traditional NLP pipelines

o UI development using Python Streamlit or Gradio libraries

Roles & Responsibilities

1. Design, develop, and fine-tune AI models using prompt engineering, fine-tuning, and retrieval-

augmented generation (RAG).

2. Implement and optimize large language model (LLM) workflows using LangChain, LangGraph, and

LlamaIndex.

3. Develop and orchestrate intelligent agents and agentic workflows for task automation.

4. Integrate vector databases and embedding techniques (word / vector embeddings) for semantic

search and knowledge retrieval.

5. Build, test, and deploy chatbots and AI systems tailored to business requirements.

6. Apply machine learning & Deep Learning models for classification, segmentation, and regression

problems.

7. Integration with platforms and APIs 8. Collaborate with cross-functional teams to deliver production-grade AI applications.