Prompt Engineer

Yantran; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Yantran is seeking a Prompt Engineer in Chennai to design, test, and optimize prompts for Generative AI and LLM-based applications. You will craft effective prompts and templates that drive accurate, structured outputs and support RAG workflows.

You will collaborate with AI engineers and product teams to evaluate model responses, iterate prompts, and document best practices. Python experience and NLP fundamentals are preferred, with a focus on reliability and scalability in production

Qualifications

• Experience designing prompts for LLMs.
• Ability to create reusable prompt templates.
• Familiarity with evaluation of model outputs.
• Knowledge of structured outputs and function calling.

Responsibilities

• Develop effective prompts for LLM applications.
• Create reusable prompt templates.
• Test and evaluate model responses.
• Optimize prompts for accuracy and consistency.
• Develop structured-output prompts.
• Support RAG and AI-agent workflows.
• Build prompt evaluation frameworks.
• Collaborate with AI engineers and product teams.

Skills

Prompt Engineering

LLMs

Generative AI

RAG concepts

AI evaluation

NLP fundamentals

Structured outputs

OpenAI/Azure OpenAI/Anthropic/Gemini

AI collaboration

Tools

Python

Job description

Seeking a Prompt Engineer to design, test, optimize, and evaluate prompts for Generative AI and LLM-based applications.

Responsibilities:

• Develop effective prompts for LLM applications.


• Create reusable prompt templates.


• Test and evaluate model responses.


• Optimize prompts for accuracy and consistency.


• Develop structured-output prompts.


• Support RAG and AI-agent workflows.


• Build prompt evaluation frameworks.


• Collaborate with AI engineers and product teams.


• Document prompt strategies and best practices.

Required Skills:

• Prompt Engineering.


• LLMs.


• Generative AI.


• OpenAI/Azure OpenAI/Anthropic/Gemini.


• RAG concepts.


• AI evaluation.


• Python preferred.


• NLP fundamentals.


• Structured outputs/function calling.