Posted 15 July, 2026
Prompt Engineer
NR Consulting - India
Mumbai, Maharashtra, IN
Full Time
Reference: 26-21440-2220-1
Title: Prompt Engineer
Location: Mumbai
Exp: 2+ Years
Job Description:
Role Overview
We are seeking a highly skilled Prompt Engineer to design, test, and optimize AI-powered solutions
using Large Language Models (LLMs). The ideal candidate is exceptionally strong at prompting and
has hands-on experience with API integrations. Knowledge of Python and AI/ML concepts is
preferred.
You will collaborate with Data Scientists, AI Engineers, Product Teams, and Business Stakeholders
to build scalable LLM applications, intelligent agents, and enterprise copilots.
Key Responsibilities
• Design, test, and optimize prompts for LLMs such as GPT, Claude, Gemini, Llama, and Mistral.
• Develop reusable prompt templates, prompt libraries, and evaluation workflows.
• Apply advanced prompting techniques, including zero-shot, few-shot, Chain-of-Thought (CoT),
ReAct, self-reflection, and Tree of Thoughts.
• Evaluate prompt quality using quantitative and qualitative metrics.
• Build context-aware AI workflows with secure tool invocation and context management.
• Integrate LLM APIs, including OpenAI, Azure OpenAI, Anthropic, and Google Gemini.
• Build AI applications, automation scripts, backend services, and evaluation pipelines using
Python.
• Support AI agents, multi-agent systems, tool calling, function calling, conversational AI, and
enterprise copilots.
• Help optimize AI application performance, reliability, and cost.
Required Skills
• Very strong prompt-engineering skills with practical experience designing, testing, and improving
LLM prompts.
• Experience with API integrations, including REST APIs, GraphQL APIs, and LLM APIs.
• Strong understanding of advanced prompting techniques such as zero-shot, few-shot, CoT,
ReAct, self-reflection, and Tree of Thoughts.
• Familiarity with agentic AI, tool calling, function calling, and multi-agent systems.
• Good communication and collaboration skills.
Preferred Skills
• Good working knowledge of Python for AI applications, automation, backend services, or
evaluation pipelines.
• Understanding of AI/ML concepts, including NLP, transformer architecture, embeddings, vector
databases, and Retrieval-Augmented Generation (RAG).
• Familiarity with evaluating or fine-tuning foundation models.
• Exposure to OpenAI, Azure OpenAI, Anthropic, Google Gemini, or similar LLM platforms.
Qualifications
• 0–3 years of relevant experience in prompt engineering, LLM applications, AI/ML, software
development, or related areas.
• Demonstrable strength in prompting and practical experience with API integrations.
• Python and AI/ML knowledge are preferred.
• Ability to work effectively with cross-functional teams, including Data Scientists, AI Engineers,
Product Teams, and Business Stakeholders
Location: Mumbai
Exp: 2+ Years
Job Description:
Role Overview
We are seeking a highly skilled Prompt Engineer to design, test, and optimize AI-powered solutions
using Large Language Models (LLMs). The ideal candidate is exceptionally strong at prompting and
has hands-on experience with API integrations. Knowledge of Python and AI/ML concepts is
preferred.
You will collaborate with Data Scientists, AI Engineers, Product Teams, and Business Stakeholders
to build scalable LLM applications, intelligent agents, and enterprise copilots.
Key Responsibilities
• Design, test, and optimize prompts for LLMs such as GPT, Claude, Gemini, Llama, and Mistral.
• Develop reusable prompt templates, prompt libraries, and evaluation workflows.
• Apply advanced prompting techniques, including zero-shot, few-shot, Chain-of-Thought (CoT),
ReAct, self-reflection, and Tree of Thoughts.
• Evaluate prompt quality using quantitative and qualitative metrics.
• Build context-aware AI workflows with secure tool invocation and context management.
• Integrate LLM APIs, including OpenAI, Azure OpenAI, Anthropic, and Google Gemini.
• Build AI applications, automation scripts, backend services, and evaluation pipelines using
Python.
• Support AI agents, multi-agent systems, tool calling, function calling, conversational AI, and
enterprise copilots.
• Help optimize AI application performance, reliability, and cost.
Required Skills
• Very strong prompt-engineering skills with practical experience designing, testing, and improving
LLM prompts.
• Experience with API integrations, including REST APIs, GraphQL APIs, and LLM APIs.
• Strong understanding of advanced prompting techniques such as zero-shot, few-shot, CoT,
ReAct, self-reflection, and Tree of Thoughts.
• Familiarity with agentic AI, tool calling, function calling, and multi-agent systems.
• Good communication and collaboration skills.
Preferred Skills
• Good working knowledge of Python for AI applications, automation, backend services, or
evaluation pipelines.
• Understanding of AI/ML concepts, including NLP, transformer architecture, embeddings, vector
databases, and Retrieval-Augmented Generation (RAG).
• Familiarity with evaluating or fine-tuning foundation models.
• Exposure to OpenAI, Azure OpenAI, Anthropic, Google Gemini, or similar LLM platforms.
Qualifications
• 0–3 years of relevant experience in prompt engineering, LLM applications, AI/ML, software
development, or related areas.
• Demonstrable strength in prompting and practical experience with API integrations.
• Python and AI/ML knowledge are preferred.
• Ability to work effectively with cross-functional teams, including Data Scientists, AI Engineers,
Product Teams, and Business Stakeholders
