AI Engineer (AI + Software)

Euler Motors; New Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Euler Motors in Delhi is seeking an AI Engineer to build and deploy LLM-powered features and to work with retrieval systems, ranking models, and personalization engines. You will design AI services integrated with modern software products and take ownership from day one.

The role suits someone with strong Python/JS software engineering skills, hands-on ML experience, and a curious, fast-learning mindset in an early-stage environment.

Qualifications

• Strong in Python/JS software engineering.
• Hands-on with LLMs, RAG, or applied ML in production.
• Curious, fast learner, thrives in an early-stage environment.

Responsibilities

• Build and deploy LLM-powered features in production.
• Work with retrieval systems, ranking models, and personalization engines.
• Design safe, scalable AI services integrated with modern software products.

Skills

Python

JavaScript

LLMs

RAG

Applied ML

Tools

Python

JavaScript

FastAPI

Express

Node.js

Docker

Kubernetes

AWS

GCP

LangChain

LlamaIndex

Pinecone

FAISS

pgvector

OpenAI

Job description

Location: Mohan Estate, Delhi

Type: Full-Time

We’re building something exciting at the intersection of AI and Automotive — reimagining how intelligent software can shape the future of this industry.

We’re looking for AI Engineers who can:

• Build and deploy LLM-powered features in production.
• Work with retrieval systems, ranking models, and personalization engines.
• Design safe, scalable AI services integrated with modern software products.

You are someone who:

• Strong in Python/JS software engineering.
• Hands-on with LLMs, RAG, or applied ML in production.
• Curious, fast learner, thrives in an early-stage environment.

Tech stack you’ll work with:

• AI Agents, tool calling, and agentic workflows
• LiteLLM (LLM gateway — routing, aliases, fallbacks)
• Cloud LLMs (GPT, Claude, Gemini)
• Open-source models (Qwen, Llama, Mistral, DeepSeek)
• LangGraph, LangChain, LlamaIndex
• Embeddings (OpenAI, Voyage AI, Cohere)
• Retrieval & Vector Databases (Pinecone, Weaviate, FAISS, pgvector)
• Hybrid Retrieval (Postgres FTS + pgvector + Reciprocal Rank Fusion + rerankers)
• Speech-to-Text (STT) and Text-to-Speech (TTS) — batch & real-time streaming
• Voice AI platforms (LiveKit Agents, Pipecat)
• Multimodal document understanding and structured extraction
• FastAPI, Express, Node.js, Python
• Docker, Kubernetes, AWS/GCP
• Data pipelines and feature stores

Why join:

• Be part of a ambitious team.
• High ownership and impact from day one.
• Opportunity to build cutting-edge AI s