
AI Agent & LLM Engineer
Raushang4 Technology
About the Role
Raushang4 Technology builds custom AI agents, full-stack products, and headless e-commerce for Indian D2C brands, plus Salesforce, IoT, and mobile work. We are an early-stage, founder-led company. Custom AI agents are the core of what we do, and you will work directly with the founder, Raushan Kumar (Full Stack & Agentic AI Architect).
Key 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 operations.
- 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.
Requirements & Tech Stack
- LLM APIs and tool/function calling
- RAG or evals on a real project
- Python or TypeScript
- Clear written architecture (GitHub profile required)
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)
Hiring Process
- Application
- Screening (within 2 working days)
- Practical task (paid-trial terms agreed in writing)
- Technical interview
- Founder call
