Senior AI/ML Engineer — Generative AI & Agentic Systems

The Luxury Closet; Delhi; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Dynamic work environment

Short decision times

Opportunities for excellence

Job summary

The Luxury Closet is seeking a skilled Senior AI/ML Engineer in Delhi, India, to develop AI-driven solutions. The ideal candidate will have 4-7 years of experience and strong proficiency in Python and machine learning.

You will design and ship production AI systems, build RAG pipelines, and enhance output quality through LLM evaluation frameworks. This role offers opportunities for proactive ownership and collaboration in a fast-paced environment.

Qualifications

• 4-7 years of total engineering/ML experience.
• At least 2 years shipping production AI/LLM systems.
• Track record of owning AI features end-to-end.

Responsibilities

• Design and ship production agentic AI systems.
• Build RAG pipelines with vector databases.
• Develop LLM evaluation frameworks.
• Implement prompt engineering and structured outputs.
• Build resilience into pipelines including cost monitoring.
• Diagnose and fix end-to-end pipeline failures.
• Build production AI features using Gemini and Claude.

Skills

Machine Learning

Deep Learning

Python

AI/LLM Engineering

LangChain

Vector Databases

Tools

Gemini

Claude

OpenAI APIs

GCP

FastAPI

Job description

About Us

The Luxury Closet is a company born in Dubai, the heart of luxury in the Arabian Peninsula, where we are redefining the world of luxury. We seek to challenge the norms and build a sustainable company that is loved and admired, and inspires the modern‑day luxury consumer.

Our aim is to unlock and curate the most valuable and exclusive closets from around the world.

What do we offer?

• A young, dynamic and forward‑thinking environment
• Fast paced and very short decision times for changes
• A canvas for you to truly excel
• 99% of uptime on sunshine

We are seeking a skilled senior AI/ML Engineer to join our team and contribute to the development and deployment of AI‑driven solutions. The ideal candidate has expertise in machine learning, deep learning, and data science, with strong proficiency in Python and its related frameworks. You will be responsible for building, optimizing, and maintaining machine learning models, as well as integrating them into production systems.

Key Responsibilities

• Design and ship production agentic AI systems (multi‑step, tool‑using LLM agents) for pricing, catalog enrichment, and authentication.
• Build RAG pipelines with vector databases, hybrid search, and reranking.
• Develop LLM evaluation frameworks (golden datasets, LLM‑as‑judge) to measure and improve output quality.
• Implement prompt engineering, structured outputs, and function calling patterns.
• Build resilience and observability into pipelines, including cost monitoring and latency tracking.
• Diagnose and fix end‑to‑end pipeline failures across data and infrastructure layers.
• Build production AI features using Gemini, Claude, and LangChain/LangGraph for customer‑facing applications across the marketplace.

Requirements

• 4–7 years of total engineering/ML experience, with at least 2 years shipping production AI/LLM systems.
• Track record of owning AI features end‑to‑end.

Technical Skills

• AI/LLM Engineering: 2+ years building production LLM‑powered features and multi‑step agentic systems.
• Frameworks & Tools: Hands‑on experience with LangGraph, LangChain, and vector DBs (e.g., Pinecone, Weaviate, pgvector).
• APIs & Infrastructure: Production experience with Gemini, Claude, and OpenAI APIs; GCP experience (Vertex AI, BigQuery) is strongly preferred.
• Operations: Experience with evaluation pipelines (LangSmith, Ragas) and observability tooling.
• Development: Async Python patterns (FastAPI).

Soft Skills

• Proactive ownership and a quality‑first mindset regarding AI evaluations.
• Ability to work both independently and collaboratively in a fast‑paced environment.
• Excellent communication and documentation skills.
• Attention to detail and a passion for building high‑quality AI solutions.