AI Full Stack Engineer

AVIX Labs; Chennai District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

AVIX Labs is seeking an AI/ML Engineer to design, develop, and deploy AI-powered applications focused on real-world business use cases. You will work with large language models, build retrieval-based systems, and integrate AI into scalable backend services.

Responsibilities include designing LLM-based applications, building data pipelines for embeddings and retrieval, and integrating AI models with backend systems using FastAPI.

Qualifications

• Strong proficiency in Python.
• Experience with FastAPI or similar frameworks.
• Hands-on experience with LLM frameworks (LangChain, LlamaIndex).
• Understanding of vector databases and embeddings.
• Familiarity with AWS services.

Responsibilities

• Design and implement LLM-based applications (RAG, copilots, AI assistants).
• Build data pipelines for embeddings, retrieval, and indexing.
• Integrate AI models with backend systems using FastAPI or Node.js.
• Optimize performance, latency, and cost of AI solutions.
• Collaborate with product and engineering teams to translate business needs into AI workflows.

Skills

Python programming

Tools

FastAPI

LangChain

LlamaIndex

Vector databases

Embeddings

AWS

Job description

Job Description

The AI/ML Engineer will design, develop, and deploy AI-powered applications focused on real-world business use cases. This role involves working with large language models, building retrieval-based systems, and integrating AI into scalable backend services.

Responsibilities

• Design and implement LLM-based applications (RAG, copilots, AI assistants)
• Build data pipelines for embeddings, retrieval, and indexing
• Integrate AI models with backend systems using FastAPI or Node.js
• Optimize performance, latency, and cost of AI solutions
• Collaborate with product and engineering teams to translate business needs into AI workflows

Qualifications

• Strong proficiency in Python
• Experience with FastAPI or similar frameworks
• Hands-on experience with LLM frameworks (LangChain, LlamaIndex)
• Understanding of vector databases and embeddings
• Familiarity with AWS services

Additional Requirements

• Experience with fine-tuning or prompt engineering is a plus
• Understanding of multi-agent systems is an advantage