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