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Hiring company

AI Full Stack Engineer

📍 Dallas, United States 💼 On-site ⏰ Full Time 📋 Temporary or Fixed-Term Contract

Work mode: On-site · Location: Dallas, United States · Schedule: Full Time.

Annual salary
$65/year
Application Deadline
📅 Nov 21, 2026

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Job Description

We are seeking an experienced AI Full Stack Engineer to design, develop, and maintain scalable, high-performance web applications and AI-driven solutions. The role combines full-stack engineering, enterprise backend development, modern frontend technologies, database integration, and API architecture to improve service delivery and operational efficiency.

Key Responsibilities:

• Design, develop, and maintain scalable frontend and backend application components.

• Build and maintain enterprise-grade services using Python, Java, JavaScript, and established backend frameworks.

• Develop responsive and interactive user interfaces using modern frontend frameworks and supporting technologies.

• Design and integrate APIs and communication protocols to support reliable interoperability between application services.

• Work with relational, document, distributed, caching, search, and graph database technologies to support application requirements.

• Contribute to AI-driven application development and integrate relevant AI/ML capabilities where appropriate.

• Support application performance, scalability, maintainability, and operational efficiency throughout the development lifecycle.

Required Skills & Qualifications:

• A bachelor's degree or foreign equivalent in Computer Science, Engineering, or a closely related field, together with at least five years of experience in the job offered or a related occupation.

• At least five years of experience with the specified programming languages and backend frameworks.

• At least five years of experience with the specified frontend development technologies.

• At least three years of experience with the specified databases and API development technologies.

• The ability to work onsite five days per week.

Preferred Qualifications:

• Exposure to AI/ML and LLM application development, including agent frameworks, retrieval-augmented generation, and model context protocols.

• Familiarity with vector databases and vector search technologies, including Milvus, Pinecone, Weaviate, and Vectorize.

• Experience with LangChain, LangGraph, LangSmith, CrewAI, AutoGen, and n8n.

• Familiarity with web scraping tools, AI evaluation techniques, Supabase, NumPy, and pandas.

About the Company

N2P Systems