I AM HIRED

Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

JvSt3J MmNZGjTM – AI & Machine Learning — Atlanta, GA

ML и AI, AI-инженерия · сегодня, 18:57 · 11.11.2026

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Компания: ••••••••

Локация: Atlanta, GA

Формат: не указан

Занятость: Контракт

Грейд: не определён

zX7MYV fZDQEsCd – AI & Machine Learning

Atlanta, GA (5 day onsite)

Face to Face Interview

12+ months contract

Job Summary

We are looking for an experienced zX7MYV fZDQEsCd 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:- ••••••••

Direct: ••••••••, Ext- 218 • ••••••••

6655 Deseo Dr, Suite 104,Irving, TX , 75039 • ••••••••

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