Prompt Engineer – AI & Machine Learning

Tekgence Inc; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Tekgence Inc. is seeking an experienced Prompt Engineer to design, develop, test, and optimize prompts for large language models and AI-powered applications.

You will craft system and user prompts, few-shot patterns, and structured templates, enhancing accuracy, relevance, and reliability across enterprise use cases. You will collaborate with AI/ML engineers to integrate prompt workflows into production, evaluate model outputs, and advance RAG-based and NLP-driven solutions using embeddings and

Qualifications

• Hands-on experience in prompt engineering for LLMs and AI-powered applications.
• Experience evaluating prompts and improving accuracy, reliability, and response quality.
• Familiarity with NLP concepts and machine learning basics.

Responsibilities

• Design, develop, test, and optimize prompts for LLMs and Generative AI applications.
• Create system prompts, user prompts, few-shot prompts, and structured output templates.
• Implement advanced prompt engineering techniques to improve model accuracy and reliability.
• Collaborate with AI/ML engineers to integrate prompt workflows into production apps.
• Develop prompt testing frameworks, evaluation datasets, and performance benchmarks.

Skills

Prompt engineering

AI/ML concepts

NLP

LLM integration

Tools

OpenAI GPT

Anthropic Claude

Vector databases

Job description

We are looking for an experienced Prompt Engineer with strong knowledge of Artificial Intelligence, Machine Learning, and Generative AI to design, develop, test, and optimize prompts for Large Language Models (LLMs) and AI-powered applications. The ideal candidate will have hands-on experience in prompt engineering, model evaluation, NLP, machine learning concepts, and LLM integration.

The candidate will work closely with AI engineers, data scientists, and product teams to improve AI model accuracy, response quality, reliability, and performance across enterprise use cases.

Key Responsibilities

• Design, develop, test, and optimize prompts for LLMs and Generative AI applications.
• Create effective system prompts, user prompts, few-shot prompts, and structured output templates.
• Implement advanced prompt engineering techniques to improve model accuracy, relevance, consistency, and reliability.
• Work with LLMs such as OpenAI GPT, Anthropic Claude, Google Gemini, and open-source models.
• Develop and optimize prompts for AI-powered chatbots, virtual assistants, content generation, and enterprise automation.
• Apply prompt chaining, context engineering, reasoning strategies, and tool/function calling.
• Collaborate with AI/ML engineers to integrate prompt workflows into production applications.
• Design and implement RAG-based solutions using embeddings, vector databases, and semantic search.
• Evaluate LLM responses for accuracy, relevance, hallucinations, bias, and consistency.
• Develop prompt testing frameworks, evaluation datasets, and performance benchmarks.
• Apply machine learning and NLP concepts to improve AI-driven solutions.
• Identify and resolve issues related to prompt injection, context limitations, and inaccurate model outputs.
• Work with structured and unstructured data to improve model context and response quality.
• Monitor deployed AI applications and continuously improve prompt performance.
• Document prompt libraries, reusable templates, evaluation results, and best practices.

Linkedin:- linkedin.com/in/nitesh-ch-a378b5222

6655 Deseo Dr, Suite 104,Irving, TX , 75039 www.tekgence.com