Senior Generative AI Engineer

Rwindia; Chennai District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Rwindia is seeking a Senior Generative AI Engineer to design, develop, and deploy enterprise-grade GenAI solutions using LLMs, RAG, multimodal AI, and orchestration frameworks. You will focus on scalable GenAI pipelines, optimizing model performance, and integrating production-ready AI applications.

The role requires 7+ years in ML/DL with 5+ in GenAI, strong Python skills, and hands-on experience with PyTorch/TensorFlow, LLMs, LangChain, and vector databases.

Qualifications

• 7+ years in ML/DL engineering with at least 5+ years in GenAI applications.
• Strong proficiency in Python programming.
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Experience with LLMs including OpenAI, Anthropic, Mistral, and LLaMA.
• Experience using LangChain, Hugging Face Transformers, LlamaIndex, or similar AI frameworks.
• Strong understanding of Prompt Engineering techniques.
• Experience with embeddings and vector databases (FAISS, Pinecone, Weaviate, Milvus).
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps best practices.

Responsibilities

• Develop and fine-tune Generative AI models including GPT, LLaMA, Claude, and Stable Diffusion.
• Design and build end-to-end Generative AI pipelines (data collection, preprocessing, training, evaluation, deployment).
• Integrate LLMs and multimodal models into production systems using LangChain, LlamaIndex, OpenAI APIs, or similar frameworks.
• Design and implement RAG solutions for enterprise use cases.
• Collaborate with Data Science, Product, and Engineering teams to build AI-driven applications.
• Research and evaluate emerging AI technologies and frameworks to drive innovation.
• Optimize model inference, latency, scalability, and cost for production deployments.
• Support deployment and operationalization of enterprise AI solutions following MLOps best practices.

Skills

Python

PyTorch

TensorFlow

LLMs

Prompt Engineering

LangChain

Hugging Face Transformers

LlamaIndex

FAISS

Pinecone

Weaviate

Milvus

MLOps

Cloud Computing

Docker

Kubernetes

Education

Bachelor's or Master's degree in Computer Science / AI / Data Science

Tools

LangChain

Hugging Face Transformers

LlamaIndex

FAISS

Pinecone

Weaviate

Milvus

Docker

Kubernetes

Job description

Job Summary

The Senior Generative AI Engineer is responsible for designing, developing, and deploying enterprise-grade Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multimodal AI, and modern AI orchestration frameworks. The role focuses on building scalable GenAI pipelines, optimizing AI model performance, integrating production-ready AI solutions, and collaborating with cross-functional teams to deliver innovative AI-powered applications.

Key Responsibilities

• Develop and fine-tune Generative AI models including GPT, LLaMA, Claude, and Stable
• Diffusion for text, image, audio, and video generation.
• Design and build end-to-end Generative AI pipelines covering data collection, preprocessing, model training, evaluation, and deployment.
• Integrate Large Language Models (LLMs) and multimodal AI models into production systems using LangChain, LlamaIndex, OpenAI APIs, or similar frameworks.
• Design and implement Retrieval-Augmented Generation (RAG) solutions for enterprise use cases.
• Collaborate with Data Science, Product, and Engineering teams to build AI-driven applications.
• Research and evaluate emerging AI technologies, tools, and frameworks to drive innovation.
• Optimize model inference, response latency, scalability, and cost efficiency for production deployments.
• Support deployment and operationalization of enterprise AI solutions while following MLOps best practices.

Required Skills & Experience

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 7+ years of experience in Machine Learning/Deep Learning Engineering with at least 5+ years of experience in Generative AI applications.
• Strong proficiency in Python programming.
• Hands-on experience with Machine Learning frameworks such as PyTorch or TensorFlow.
• Strong experience with Large Language Models (LLMs) including OpenAI, Anthropic, Mistral, and LLaMA.
• Experience using LangChain, Hugging Face Transformers, LlamaIndex, or similar AI frameworks.
• Strong understanding of Prompt Engineering techniques.
• Experience working with Embeddings and Vector Databases such as FAISS, Pinecone, Weaviate, or Milvus.
• Familiarity with cloud platforms including AWS, Azure, or Google Cloud Platform (GCP).Knowledge of MLOps best practices.
• Strong analytical, research, debugging, and problem-solving skills.

Preferred Qualifications

• Experience with diffusion and image generation models such as Stable Diffusion, Midjourney, or DALL·E.
• Exposure to multimodal AI systems combining text, vision, and speech.
• Experience with Azure AI Foundry and Azure AI Search.
• Knowledge of API development, Docker, Kubernetes, and CI/CD pipelines.
• Contributions to open-source AI projects or research publications in NLP or Generative AI.

Other Requirements

• Excellent communication and interpersonal skills.
• Self-motivated and capable of working collaboratively within distributed teams.
• Ability to coordinate effectively with onsite and offshore teams.
• Strong problem-solving mindset with a proactive approach toward technical challenges.