Prompt Engineer

2 days ago

Pune, Maharashtra, India Agivant Technologies Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Position Overview
We are seeking a highly skilled
Prompt Engineering Specialist
to design, optimize, and manage prompts for large language models (LLMs). The ideal candidate will combine expertise in
natural language processing (NLP), AI model behavior, and Python programming
to maximize model accuracy, reliability, and output quality. This role requires a strong analytical mindset, creativity in prompt design, and hands-on experience with
iterative testing methodologies
.

Key Responsibilities

  • Prompt Design & Optimization: Create, refine, and maintain AI prompts for LLMs to ensure optimal performance and task accuracy.
  • NLP Application: Apply advanced NLP and linguistic principles (syntax, semantics, pragmatics) to enhance prompt efficiency and contextual understanding.
  • Model Performance Tuning: Leverage prompt engineering techniques such as chain-of-thought prompting, few-shot learning, and role prompting to improve LLM responses.
  • Testing & Evaluation: Conduct A/B testing, prompt versioning, and performance evaluations to measure and optimize effectiveness.
  • Tool Integration: Work with tools like n8n, PromptFlow, and other workflow/automation platforms to streamline AI processes.
  • Analytics & Insights: Analyze model behavior, identify performance patterns, and generate insights for continuous improvement.
  • Collaboration: Work closely with AI/ML engineers, data scientists, and product teams to align prompt strategies with business needs.
  • Documentation: Maintain structured documentation of prompt versions, methodologies, and performance metrics for future scalability.

Requirements
Required Skills & Qualifications

  • Programming: Strong proficiency in Python for prompt testing, data analysis, and automation.
  • NLP & Linguistics: Solid understanding of natural language processing, syntax, and linguistic structures.
  • LLM Platforms: Hands-on experience with OpenAI GPT (or similar large language models).
  • Prompt Engineering Techniques: Expertise in chain-of-thought prompting, few-shot learning, and role-based prompting.
  • Testing Methodologies: Experience with A/B testing, prompt versioning, and evaluation metrics.
  • Tools & Workflow Automation: Familiarity with n8n, PromptFlow, and related platforms.
  • Analytical Skills: Ability to interpret model outputs, troubleshoot anomalies, and enhance response quality.

Experience

  • 2+ years of professional experience in AI/ML, NLP, or related fields.
  • 1+ year of hands-on experience in prompt engineering and LLM optimization.

Preferred Qualifications

  • Exposure to multiple LLM frameworks beyond OpenAI (e.g., Anthropic Claude, Cohere, LLaMA).
  • Experience with fine-tuning or RAG (Retrieval-Augmented Generation) techniques.
  • Knowledge of data pipelines and model deployment workflows.
  • Strong communication skills for collaborating across technical and non-technical teams.

Why Join Us?

  • Work on cutting-edge AI technologies with direct impact on product innovation.
  • Opportunity to shape prompt engineering best practices in a rapidly evolving domain.
  • Collaborative and growth-oriented work culture with emphasis on experimentation and learning.

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