GenAI Data Science

Quantzig AI Solutions India Private Limited; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Quantzig is hiring Analytics Consultants to design, build, and productionise Generative AI applications for enterprise clients. You will work hands-on with LLMs, RAG architectures, and Python microservices — taking AI-powered search, summarisation, and conversational solutions from prototype through to secure, scalable production deployments.

You will design, develop, and deploy LLM-powered applications, build RAG pipelines, implement prompt engineering, and collaborate with data teams to

Qualifications

• Strong experience with LLMs (OpenAI, Azure OpenAI, LangChain, LlamaIndex).
• Hands-on expertise in RAG architectures and vector databases (Pinecone, FAISS, Weaviate, Redis).
• Proficiency in Python and frameworks like FastAPI, Flask, or Django.
• Experience deploying models on cloud platforms (Azure, AWS, GCP).
• Familiarity with REST APIs, JSON parsing, and data integration workflows.
• Knowledge of MLOps, Docker, Kubernetes, and CI/CD practices.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and deploy LLM-powered applications using OpenAI, Azure OpenAI, and Hugging Face frameworks.
• Build RAG pipelines using embeddings, retrievers, and vector databases such as Pinecone, FAISS, or Weaviate.
• Implement prompt engineering, fine-tuning, and optimisation for domain-specific use cases.
• Develop and maintain Python-based microservices using FastAPI, Flask, or Streamlit for AI model integration.
• Collaborate with data and frontend teams to integrate AI-powered search, summarisation, and conversational assistants into enterprise systems.
• Ensure data security, scalability, and compliance in AI solutions.
• Continuously explore the latest AI/ML research, tools, and frameworks to enhance solution performance.

Skills

LLMs

RAG architectures

Python

Python frameworks

Vector databases

Cloud platforms

MLOps

REST APIs

CI/CD

Tools

Docker

Kubernetes

LangChain

LlamaIndex

Pinecone

FAISS

Weaviate

Redis

Job description

QUANTZIG

GenAI Data Science

Analytics Consultant / Senior Analytics Consultant LLM Applications RAG

LOCATION

Bangalore, India

WORK MODE

On-site / WFO

EXPERIENCE

3+ Years

EMPLOYMENT

Full-time

ABOUT THE ROLE

Quantzig is hiring Analytics Consultants and Senior Analytics Consultants to design, build, and productionise Generative AI applications for enterprise clients. You will work hands-on with LLMs, RAG architectures, and Python microservices — taking AI-powered search, summarisation, and conversational solutions from prototype through to secure, scalable production deployments.

KEY RESPONSIBILITIES

• Design, develop, and deploy LLM-powered applications using OpenAI, Azure OpenAI, and Hugging Face frameworks.
• Build RAG pipelines using embeddings, retrievers, and vector databases such as Pinecone, FAISS, or Weaviate.
• Implement prompt engineering, fine-tuning, and optimisation for domain-specific use cases.
• Develop and maintain Python-based microservices using FastAPI, Flask, or Streamlit for AI model integration.
• Collaborate with data and frontend teams to integrate AI-powered search, summarisation, and conversational assistants into enterprise systems.
• Ensure data security, scalability, and compliance in AI solutions.
• Continuously explore the latest AI/ML research, tools, and frameworks to enhance solution performance.

REQUIRED SKILLS & EXPERIENCE

• Strong experience with LLMs (OpenAI, Azure OpenAI, LangChain, LlamaIndex).
• Hands-on expertise in RAG architectures and vector databases (Pinecone, FAISS, Weaviate, Redis).
• Proficiency in Python and frameworks like FastAPI, Flask, or Django.
• Experience deploying models on cloud platforms (Azure, AWS, GCP).
• Familiarity with REST APIs, JSON parsing, and data integration workflows.
• Knowledge of MLOps, Docker, Kubernetes, and CI/CD practices.
• Strong analytical, problem-solving, and communication skills.

GOOD TO HAVE

• Experience with observability tools like MLflow, LangSmith, or Weights & Biases.
• Exposure to voice-based AI assistants or AI narration systems.
• Prior experience with NLP-driven applications in domains like finance, healthcare, or marketing.
• Contributions to open-source AI/ML projects.

WHY JOIN QUANTZIG

• Opportunity to work on cutting-edge Generative AI solutions and enterprise-scale deployments.
• Collaborative, innovation-driven culture with an AI-first vision.
• Exposure to end-to-end productisation of LLM-based systems, from prototype to production.

Location note:

This is a full-time, work-from-office role based in Bangalore. Candidates should be available to work on-site.