Prompt Engineer

Prasanz; Hyderabad; On-site; INR 700,000 - 1,100,000; Full time

Job summary

Prasanz is seeking a Prompt Engineer in Hyderabad, India to optimize interactions between software systems and large language models. The role involves designing templates, managing system context rules, and analyzing output benchmarks to produce structured, reliable inputs.

The ideal candidate will design, test, and optimize prompts across various models, program memory and context management, and enforce strict output formats like JSON/XML to align with schema parameters.

Qualifications

• 2+ years of experience working closely with Large Language Models and prompt design frameworks.
• Proficient in Python for automating prompt validation, parsing payloads, and running API tests.
• Deep understanding of model parameters (temperature, top_p, frequency penalty, system messages).
• Experience with structured parsing libraries (Pydantic, LangChain Output Parsers).
• Strong logical thinking and excellent natural language communication skills.

Responsibilities

• Design, test, and optimize prompt frameworks to retrieve high-accuracy structured responses.
• Build validation tests to monitor prompts across models (GPT, Claude, Llama, Gemini).
• Programmatically manage system memory, dynamic templates, and context token usage.
• Standardize AI outputs, forcing strict formats (JSON/XML) matching schema parameters.
• Track prompt regression states and model update shifts using analytics trackers.

Skills

Python

LangChain

Prompt Design

Large Language Models

API Testing

JSON Parsing

Tools

Pydantic

LangChain Output Parsers

JSON/XML Validation

Job description

Prompt Engineer

Full-Time Hyderabad, India (Offshore) Posted 6/23/2026

Primary Technology Stack

PythonOpenAI APIsLangChainPrompt OptimizationWeights & Biases

About The Role

Seeking a Prompt Engineer to optimize interactions between our software systems and large language models. You will design templates, manage system context rules, and analyze output benchmarks to build structured, reliable inputs.

Key Responsibilities

• Design, test, and optimize prompt frameworks to retrieve high-accuracy structured responses.
• Build validation tests to monitor prompts across models (GPT, Claude, Llama, Gemini).
• Programmatically manage system memory, dynamic templates, and context token usage.
• Standardize AI outputs, forcing strict formats (JSON/XML) matching schema parameters.
• Track prompt regression states and model update shifts using analytics trackers.

Required Qualifications

• 2+ years of experience working closely with Large Language Models and prompt design frameworks.
• Proficient in Python for automating prompt validation, parsing payloads, and running API tests.
• Deep understanding of model parameters (temperature, top_p, frequency penalty, system messages).
• Experience with structured parsing libraries (Pydantic, LangChain Output Parsers).
• Strong logical thinking and excellent natural language communication skills.