Senior AI Software Engineer: LLMs, RAG & AI Agents

Machine Learning Technologies, LLC; Trenton (NJ); Vor Ort; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

Machine Learning Technologies, LLC is seeking a Senior AI Software Engineer / Lead AI Engineer to design, build, and deploy production-grade AI-powered platforms. You will lead architecture, implement end-to-end AI systems, and collaborate with cross-functional teams to deliver scalable solutions.

The role covers engineering AI-powered apps, LLM-based apps, RAG systems, APIS, and cloud-based pipelines, ensuring performance, security, and responsible AI practices in production environments.

Qualifikationen

• Experience designing production-grade AI-powered applications.
• Hands-on experience with Generative AI, LLMs, RAG, AI agents.
• Proficiency with Python, APIs, cloud platforms, databases.
• Ability to take AI solutions from architecture to production deployment.

Aufgaben

• Design and develop scalable AI-powered software applications.
• Build and integrate LLM-based applications and AI agents.
• Develop production-grade RAG systems.
• Work with LLM APIs and open-source models.
• Design prompt engineering and evaluation frameworks.
• Develop AI agents capable of tool calls and multi-step workflows.
• Build APIs and backend services for AI applications.
• Integrate AI into existing enterprise applications.
• Design scalable data pipelines for AI/ML apps.
• Implement vector/semantic search solutions.
• Optimize AI applications for performance and cost.
• Monitor production AI apps and troubleshoot issues.
• Maintain security, privacy, reliability, and responsible AI practices.
• Participate in architecture discussions and reviews.

Kenntnisse

Generative AI

LLMs

RAG

AI Agents

Python

APIs

Cloud platforms

Databases

Distributed systems

Jobbeschreibung

Machine Learning Technologies, LLC is seeking a Senior AI Software Engineer / Lead AI Engineer to design, build, and deploy production-grade AI-powered platforms. You will lead architecture, implement end-to-end AI systems, and collaborate with cross-functional teams to deliver scalable solutions.

The role covers engineering AI-powered apps, LLM-based apps, RAG systems, APIS, and cloud-based pipelines, ensuring performance, security, and responsible AI practices in production environments.