AI / ML Engineer

Pravixa AI Pvt. Ltd.; India; Remote; INR 900,000 - 1,500,000; Full time

Job summary

Pravixa AI is seeking a skilled ML engineer to turn business workflows into reliable automated solutions. You will design LLM-based features, including chatbots and document understanding, and build retrieval pipelines using embeddings and vector databases.

You will evaluate model quality, cost, and latency while iterating rapidly for production deployment. The role requires 3+ years of Python experience, hands-on work with LangChain or LlamaIndex, and the ability to explain trade-offs to

Qualifications

• 3+ years of experience with Python and modern ML tooling.
• Hands-on experience with LLM APIs and frameworks like LangChain or LlamaIndex.
• Understanding of embeddings, vector search and prompt engineering.
• Ability to explain technical trade-offs to non-technical stakeholders.

Responsibilities

• Translate business workflows into intelligent automation across prompt design, retrieval-augmented generation, and model monitoring in production.
• Build LLM-based features such as chatbots, document understanding and agents.
• Design retrieval pipelines with vector databases and embeddings.
• Evaluate model quality, cost and latency, and iterate quickly.
• Package models and services for reliable production deployment.

Skills

Python

ML tooling

Prompt engineering

Vector search

LLM APIs

Stakeholder communication

Tools

LangChain

LlamaIndex

Embeddings

Job description

You will turn business workflows into intelligent automation: from prompt design and retrieval-augmented generation to evaluating and monitoring models in production.

Build LLM-based features such as chatbots, document understanding and agents.

Design retrieval pipelines with vector databases and embeddings.

Evaluate model quality, cost and latency, and iterate quickly.

Package models and services for reliable production deployment.

3+ years of experience with Python and modern ML tooling.

Hands-on experience with LLM APIs and frameworks like LangChain or LlamaIndex.

Understanding of embeddings, vector search and prompt engineering.

Ability to explain technical trade-offs to non-technical stakeholders.