AI Engineer

Machine Learning Technologies, LLC; Trenton (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Generative AI

LLMs

RAG

AI Agents

Python

APIs

Cloud platforms

Databases

Distributed systems

Job description

Work Authorization:

We are looking for a highly experienced Senior AI Software Engineer / Lead AI Engineer to design, develop, and deploy production-grade AI-powered applications and platforms.

The ideal candidate should have strong software engineering fundamentals combined with hands-on experience in Generative AI, LLMs, RAG, AI Agents, Python, APIs, cloud platforms, databases, and scalable distributed systems.

This role is suitable for an experienced engineer who can independently take AI solutions from architecture and proof-of-concept through production deployment and optimization.

Key Responsibilities

• Design and develop scalable AI-powered software applications.
• Build and integrate LLM-based applications and AI agents.
• Develop production-grade RAG (Retrieval-Augmented Generation) systems.
• Work with LLM APIs and open-source models.
• Design prompt engineering and evaluation frameworks.
• Develop AI agents capable of tool/function calling and multi-step workflows.
• Build APIs and backend services for AI applications.
• Integrate AI capabilities into existing enterprise applications.
• Design scalable data pipelines for AI/ML applications.
• Implement vector search and semantic search solutions.Optimize AI applications for performance, accuracy, scalability, and cost.
• Work with engineering teams to integrate AI into production systems.
• Develop automated testing and evaluation frameworks for AI applications.
• Monitor AI applications in production and troubleshoot performance issues.
• Maintain security, privacy, reliability, and responsible AI practices.
• Participate in architecture discussions and technical design reviews.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.