GenAI & Agentic AI Engineer

Brandsmashers Tech

Bhopal

On-site

INR 900,000 - 1,800,000

Full time

14 days+

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Job summary

Brandsmashers Tech seeks an engineer to build LLM-powered products and multi-agent systems that take real actions safely. You will develop retrieval-augmented pipelines over client data, design auditable agents, and implement guardrails before shipping features.

The role emphasizes writing robust evaluation sets, integrating LLM APIs with business systems, and monitoring cost, latency, and quality in production. Strong Python or TypeScript skills are essential.

Qualifications

  • Proficient in Python or TypeScript with production experience.
  • Experience building with LLM APIs and embeddings.
  • Familiarity with vector databases and retrieval quality.
  • Understanding of prompt design, tool calling and structured outputs.
  • Ability to measure quality and performance beyond eyeballing.

Responsibilities

  • Build retrieval-augmented generation pipelines over client data.
  • Design agents and tools with narrow, auditable permissions.
  • Write evaluation sets and guardrails before features ship.
  • Integrate LLM APIs with business systems and human handoffs.
  • Track cost, latency and quality in production.

Skills

Python
TypeScript
LLM APIs
Embeddings
Vector databases

Tools

LangGraph
LlamaIndex
OpenAI API

Job description

Build LLM-powered products and multi-agent systems that take real actions safely: support agents, copilots, retrieval over company knowledge and orchestrated workflows.

What you'll do
  • Build retrieval-augmented generation pipelines over client data
  • Design agents and tools with narrow, auditable permissions
  • Write evaluation sets and guardrails before features ship
  • Integrate LLM APIs with business systems and human handoffs
  • Track cost, latency and quality in production
What you'll bring
  • Strong Python or TypeScript engineering skills
  • Hands-on experience building with LLM APIs and embeddings
  • Experience with vector databases and retrieval quality
  • Understanding of prompt design, tool calling and structured outputs
  • A habit of measuring quality rather than eyeballing it
Nice to have
  • LangGraph, LlamaIndex or similar frameworks
  • Fine-tuning or small open models
  • Voice or multimodal interfaces
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