Prompt Engineer

Moonfire

Bengaluru

On-site

INR 1,500,000 - 3,500,000

Full time

14 days+

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Job summary

Moonfire is seeking a seasoned Prompt Engineer to lead the design and optimization of prompts for advanced language models. You will collaborate with cross-functional teams to integrate prompt engineering into scalable workflows, build guardrails, and establish evaluation methodologies to reduce hallucinations.

A strong background in Python and Azure services is required to implement robust CI/CD pipelines for production-grade prompt workflows.

Qualifications

  • 5+ years of relevant experience in prompt engineering.
  • Proficiency in Python for automation and experimentation.
  • Experience with Azure services (Azure OpenAI, Azure ML, AKS, Azure Data Factory).
  • Familiarity with LangChain, RAG frameworks, and vector databases.
  • Ability to design and implement CI/CD pipelines for prompt workflows.

Responsibilities

  • Build and optimize prompts for large language models and related AI systems.
  • Collaborate with cross-functional teams to integrate prompt engineering into end-to-end workflows.
  • Develop and maintain prompt frameworks, guardrails, and evaluation methodologies to minimize hallucinations.
  • Design and implement CI/CD pipelines for prompt workflows, preferably using Azure DevOps or equivalent tooling.

Skills

Prompt Engineering
Python
LLMs
CI/CD
Generative AI

Tools

Azure OpenAI
Azure ML
AKS
Azure Data Factory
LangChain
Vector databases

Job description

Overview

Job Description:

Location: Bangalore, Bhuwaneshwar, Chennai, Hyderabad, Kolkata, Mumbai, Noida, Pune.

Experience: 5+ years.

Responsibilities

The candidate should have 5+ years of relevant experience in Prompt Engineering and demonstrate ability to develop scalable prompt engineering solutions for production environments. Specific responsibilities include:

  • Build and optimize prompts for large language models and related AI systems.
  • Collaborate with cross-functional teams to integrate prompt engineering into end-to-end workflows.
  • Develop and maintain prompt frameworks, guardrails, and evaluation methodologies to minimize hallucinations.
  • Design and implement CI/CD pipelines for prompt workflows, preferably using Azure DevOps or equivalent tooling.
Technical Skills
  • Proficiency in Python for automation and experimentation.
  • Strong understanding of LLMs (GPT, BERT, Claude) and prompt engineering best practices.
  • Hands-on experience with Azure services (Azure OpenAI, Azure ML, AKS, Azure Data Factory, etc.).
  • Familiarity with LangChain, RAG frameworks, and vector databases.
  • Exposure to Generative AI and strategies to minimize hallucinations via guardrails.
Preferred Experience
  • Building scalable prompt engineering frameworks for production environments.
  • Certifications such as Microsoft Azure Solutions Architect or AI Engineer (preferred).
  • Experience with Agentic AI, Semantic Kernel, AutoGen, Langraph, etc.
  • Develop CICD pipelines for prompt workflows using Azure DevOps or equivalent.
Mandatory Skills

Mandatory Skills: Prompt Engineering

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