Role description

Job Summary

We are seeking a skilled Generative AI Engineer to design develop and deploy enterprisescale AI solutions leveraging Large Language Models LLMs RetrievalAugmented Generation RAG Natural Language Processing NLP and Machine Learning The ideal candidate will have handson experience in prompt engineering embeddings retrieval pipelines model evaluation and productionizing AI applications

Key Responsibilities

Design and develop LLMpowered applications for enterprise use cases

Build and optimize RAG pipelines retrieval systems and knowledgegrounded AI solutions

Develop prompt engineering strategies to improve model performance and response quality

Implement embeddings generation vector search and semantic retrieval workflows

Create evaluation frameworks to measure model quality relevance and accuracy

Develop NLP and machine learning solutions for text processing and analytics

Implement hallucination detection guardrails and responsible AI controls

Build and deploy APIs and AI services using Python and FastAPI

Collaborate with data engineers and platform teams to deploy scalable AI solutions

Monitor troubleshoot and optimize AI applications in production environments

Required Skills

Strong proficiency in Python and SQL

Experience with Pandas Jupyter Notebook

Strong foundation in Machine Learning NLP and Statistics

Knowledge of model evaluation metrics such as Precision Recall F1Score ROCAUC

Understanding of Transformers and SelfAttention Architectures

Prompt Engineering and LLM Optimization

Embeddings and Semantic Search

RAG RetrievalAugmented Generation Development

LangChain andor LangGraph

AI Evaluation Tools such as LangSmith or Galileo

Hallucination Detection and Guardrail Frameworks

Preferred Skills

MongoDB and Vector Databases

FastAPI and REST API Development

Git Jenkins and CICD Pipelines

OpenShift Containerization

Linux Administration and Shell Scripting

Experience with enterprise AI governance and model monitoring