AI Agent / LLM Engineer

Raushang4 Technology; Myrtle Point (OR); Remote; USD 3,200 - 5,300; Full time

Job summary

Raushang4 Technology is seeking an AI Agent / LLM Engineer to build production agents for D2C support and operations. You will design the agent architecture, connect tools and data, and ensure quality with rigorous evals before deployment.

The role requests experience with LLM APIs, RAG/evals on real projects, and Python or TypeScript, with GitHub visibility encouraged. Remote‑India work is offered for a full-time position.

Qualifications

• LLM APIs and tool/function calling required.

Responsibilities

• Build production agents for D2C support and operations: tools, guardrails, retrieval and evals.
• Build agents that do real work: answering customers on WhatsApp, tracking orders, recommending products and automating ops.
• Design the agent architecture and connect tools and data (Shopify, CRMs, catalogues).
• Prove quality with evals before anything goes live, monitor reliability and cost.

Skills

LLM APIs & tool calls

RAG/evals on real project

Python

TypeScript

Tools

LangGraph

LlamaIndex

Vercel AI SDK

pgvector

Pinecone

Qdrant

Langfuse

LangSmith

Job description

AI Agent / LLM Engineer

• ₹3L – ₹5L • No equity
• Remote (India)
• 1 year of exp
• Full Time

About the job

About us. Raushang4 Technology builds custom AI agents, full-stack products and headless e-commerce for Indian D2C brands, plus Salesforce, IoT and mobile work. We're an early-stage, founder-led company. Custom AI agents are the core of what we do, and you'll work directly with the founder, Raushan Kumar (Full Stack & Agentic AI Architect).

What you'll do

• Build production agents for D2C support and operations: tools, guardrails, retrieval and evals. Not a demo chatbot.
• Build agents that do real work: answering customers on WhatsApp, tracking orders, recommending products and automating ops.
• Design the agent architecture and connect tools and data (Shopify, CRMs, catalogues).
• Prove quality with evals before anything goes live, and watch reliability and cost as closely as the prompts.

Must-have skills

• LLM APIs and tool/function calling
• RAG or evals on a real project
• Python or TypeScript
• Clear written architecture (we ask for your GitHub profile when you apply)

Nice to have

• RAG depth: chunking, embeddings, vector DBs (pgvector/Pinecone/Qdrant)
• Agent orchestration (LangGraph, LlamaIndex, Vercel AI SDK or custom)
• Guardrails, hallucination checks, cost and latency tracking
• Integrations with Shopify, WhatsApp, CRMs and helpdesks
• Hindi/Hinglish prompt handling
• Observability (Langfuse/LangSmith or similar)

Questions: [emailprotected]