GEN AI Engineer - Immediate Joiners

Quantzig AI Solutions India Private Limited; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Quantzig is seeking a GenAI – Data Science specialist to design, develop and deploy LLM-powered apps using OpenAI, Azure OpenAI, and Hugging Face. You will build RAG pipelines with Pinecone/FAISS/Weaviate, implement prompt engineering, and deploy Python microservices for AI features across enterprise systems.

You will collaborate with data and frontend teams to enhance AI-powered search, summarisation, and conversational capabilities, while ensuring security, scalability and compliance.

Qualifications

• Experience with LLMs (OpenAI, Azure OpenAI, LangChain)
• Hands-on with RAG architectures and vector DBs (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 expertise

RAG architectures

Vector databases

Python programming

Cloud deployment

REST APIs

CI/CD & MLOps

Communication & problem-solving

Tools

FastAPI

Flask

Django

Docker

Kubernetes

Pinecone

FAISS

Weaviate

Job description

About Quantzig:

Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding , Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions

If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one were looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.

Company Website: https://www.quantzig.com/

GenAI – Data Science

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.