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AI Applied Engineer

Voosh

Bengaluru

2-4 years

Today

$21.7K–34.9K/yr

Full-time

Onsite

Skills Required

LLM

RAG

OpenAI

LangChain

LlamaIndex

Embeddings

NL2SQL

Python

SQL

Machine Learning

Data Science

Analytics Engineering

causal inference

budget optimization

segmentation

Description

Voosh is building an AI-first intelligence layer on top of its data and workflows for multi-location US restaurant brands. This role owns high-impact applied ML and LLM work that directly affects revenue, margin, and retention.

Company: Voosh

Role: AI Applied Engineer

Location: Bengaluru, Karnataka, India

Experience

2–4 years experience in Applied ML, Data Science, or Analytics Engineering
Exceptional fresh grads with robust projects may be considered
Strong in Python, SQL, and statistics
Comfortable working with messy real-world data
Hands-on experience with causal inference, budget optimization, segmentation or clustering, forecasting, or experimentation
Hands-on with LLMs: prompting, tool calling, RAG or NL2SQL,



and evaluations
Bias for shipping: build, test, deploy, and iterate

Responsibilities

Build response and uplift models using historical sales, orders, and spend data
Build budget optimization models to allocate spend by location, channel, and time windows
Create measurement frameworks such as test-control, DiD, and causal inference to estimate marketing impact
Develop customer segmentation models to guide spend allocation and goals by segment
Build AI copilots including chatbots, NL2SQL pipelines, and analytics agents
Ship product AI upgrades that improve automation, accuracy, and decision quality across the platform
Own the AI roadmap and build the core AI engine for the business
Work directly with the founder and core client teams

Additional Responsibilities

Deliver a baseline response model and a simple budget allocator that can run across multiple brands within the first 90 days
Create a repeatable impact measurem

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