aimlroles

Senior Analyst, RAG/LLM Specialist

Fa Ewjt Saasfaprod1 Open · verified Oct 22, 2026
Hybrid Gurugram Full-time Senior AI Engineering

At a glance

Senior AI Engineering role at Fa Ewjt Saasfaprod1. Gurugram · full-time.

Pay not stated AI Engineering salary

RoleAI Engineering
SenioritySenior
LocationGurugram
WorkplaceHybrid
EmploymentFull-time
PostedSep 28, 2026 · 3w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and test RAG systems at a basic to intermediate level with LangChain or Autogen
  • Write Python scripts that parse PDFs and documents, split text into chunks, and create embeddings
  • Test system prompts in a structured way and track versions to improve response reliability
  • Maintain the accuracy of AI-generated outputs

What you bring

  • You have strong Python skills and have worked with LLM APIs for three to four years in software or data engineering
  • You hold a computer science degree or a related qualification
  • You have used APIs such as OpenAI or Anthropic, plus basic LangChain or LlamaIndex

Who this fits

This suits a hands-on senior developer focused on RAG implementation, prompt workflows and output accuracy. The role is hybrid in Gurugram, India.

From the employer

Role Overview: Hands-on developer responsible for implementing prompt workflows, data

chunking, and maintaining the accuracy of AI outputs.

Key Responsibilities

  • Implementation: Build and test basic to intermediate RAG systems using frameworks like
  • LangChain or Autogen.
  • Data Processing: Write Python scripts for PDF/document parsing, text chunking, and embedding generation.
  • Prompt Engineering: Systematically test and version-control system prompts to achieve reliable model responses.

Required Skills & Qualifications

  • Tech Stack: Strong Python programming, familiarity with APIs (OpenAI, Anthropic), basic LangChain/LlamaIndex usage.
  • Qualifications: Bachelor’s in CS or related field; 3–4 years software or data engineering experience with demonstrated exposure to LLM APIs.