Prompt Engineer

Moonfire; Khordha; On-site; INR 600,000 - 1,100,000; Full time

Job summary

Moonfire is seeking a Prompt Engineer in India with 1–3 years of experience to design, test, and refine prompts powering AI features across products. You will work with AI engineers, product managers, and designers to ensure prompts are reliable, safe, and scalable for users.

You will build a prompt library, run systematic experiments, and collaborate on fine-tuning decisions, model selection, and safety practices. Strong Python skills are required.

Qualifications

• 1–3 years of experience with LLMs and prompts.
• Strong analytical language reasoning and precise instruction interpretation.
• Proficient in Python for prompt testing pipelines.

Responsibilities

• Design, iterate, and optimise prompts for LLM features.
• Build and maintain a prompt library with versioning and docs.
• Develop evaluation frameworks for prompt quality and reliability.
• Run experiments to compare prompt variants.
• Integrate prompts into production systems with teams.
• Identify failure modes and edge cases in outputs.
• Stay current on prompting techniques like chain-of-thought and few-shot.
• Collaborate on model selection for use cases.
• Document prompting strategies and share learnings.

Skills

Prompt design & optimisation

LLM testing & evaluation

Python scripting

Documentation & communication

Education

Bachelor's degree in CS/IS/math

Tools

LangChain

LlamaIndex

Vector databases

Job description

Prompt Engineer

DEPARTMENT

Artificial Intelligence

EMPLOYMENT TYPE

Full Time

LOCATION

India

EXPERIENCE

1 + Years

About the Role

We are looking for a Prompt Engineer with 1 to 3 years of experience to design, test, and refine prompts that power AI features across our products. You will work closely with AI engineers, product managers, and designers to craft prompts that are reliable, safe, and deliver consistently great outputs to users at scale.

In This Role, You Will

• Design, iterate, and optimise prompts for LLM-powered features across our product surfaces.
• Build and maintain a prompt library with versioning, documentation, and performance benchmarks.
• Develop evaluation frameworks to measure prompt quality, reliability, and output consistency.
• Run systematic experiments to test prompt variations and identify the highest-performing approaches.
• Work with product and engineering teams to integrate prompts into production systems reliably.
• Identify failure modes, hallucination patterns, and edge cases in LLM outputs and engineer solutions.
• Stay current on prompting techniques including chain-of-thought, RAG, few-shot, and agentic patterns.
• Collaborate with AI engineers on fine-tuning decisions and model selection for specific use cases.
• Document prompting strategies and share learnings across the team.

You Might Thrive in This Role If You

• Have 1 to 3 years of experience working with LLMs such as GPT, Claude, Gemini, or open-source models.
• Think analytically about language and can reason precisely about why a prompt produces a given output.
• Are highly systematic and treat prompt engineering as an empirical discipline, not creative guesswork.
• Have strong written communication skills and an intuition for how models interpret instructions.
• Are comfortable working in Python to build prompt testing pipelines and evaluation scripts.

Bonus If You Have

• Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks.
• Familiarity with vector databases and RAG architectures.
• Knowledge of model fine-tuning and when prompting alone is insufficient.
• Experience red-teaming LLMs for safety and reliability.