AI Engineer

Machine Learning Technologies, LLC; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an AI Engineer to conduct research on AI/ML technologies and architectures, deploy AI/LLM and agentic applications for PoC demonstrations, and assist in scaling solutions for production. You will explore Gen AI and Agentic AI, staying abreast of AI trends and evaluating third-party solutions.

Collaborating with AI Business Partners, you will contribute to data preparation, synthetic data strategies, and ensure model performance and safety across

Qualifications

• Experience in AI/ML systems design and deployment.
• Proficiency with Python, APIs, ML frameworks and AI tooling.
• Familiarity with cloud services (AWS/GCP) and data handling.

Responsibilities

• Conduct R&D on AI/ML technologies and architectures.
• Deploy AI/LLM and agentic applications for PoC and production scaling.
• Explore traditional AI, Gen AI and Agentic AI approaches.
• Stay current on AI trends and evangelize emerging technologies.
• Evaluate third-party AI solutions for scalability and business value.
• Prototype solutions to inform future productization.
• Collaborate on data preparation and synthetic data strategies.
• Validate model performance, safety, and readiness.
• Contribute to AI system architecture and cloud workflows.
• Collaborate with AI Business Partners.

Skills

Python

APIs

ML frameworks

AI tools

GitHub Copilot

Codex

Claude

LangChain

Vector databases

AWS

GCP

Tools

AWS

GCP

Job description

Job Description:

Position: AI Engineer

Skills:

• Python APIs, ML frameworks, and AI tools (GitHub Copilot, Codex, Claude, Code Lang Chain, ADK, Chat GPT, MS Copilot).

Here are the details:

• Programming & Frameworks: Python, APIs, ML frameworks, and AI tools (GitHub Copilot, Codex, Claude Code, Lang Chain, ADK, Chat GPT, MS Copilot).
• AI/ML Systems: LLMs (Open AI GPTs, Google AI, Claude), embeddings, and vector databases.
• APIs: Building and managing integrations.
• Core Competencies: Prompt Engineering, Model Evaluation & Design, and AI Architecture Design.
• Data: Preparation and generation.
• Cloud Services: AWS and GCP.

Roles & Responsibilities:

• Conduct R&D on AI/ML technologies and architectures.
• Deploy AI/LLM and agentic applications for proof-of-concept demonstrations; assist in scaling solutions for production.
• Explore and implement traditional AI, Gen AI, and Agentic AI.
• Stay current on AI trends and evangelize emerging technologies.
• Evaluate and pilot third-party AI solutions for scalability and business value.
• Prototype solutions to inform future productization.
• Collaborate on data preparation and synthetic data generation strategies.
• Validate model performance, safety, and operational readiness.
• Contribute to AI system architecture and manage workflows in cloud environments.
• Collaborate with AI Business Partners.

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.