AI/ML Engineer

New York Technology Partners; Miami (FL); On-site; USD 180,000 - 240,000; Full time

Job summary

New York Technology Partners is seeking an experienced AI/ML Engineer to design, develop, and deploy production-ready machine learning and agentic AI solutions. The role focuses on building LLM-powered applications, RAG pipelines, and document intelligence workflows while ensuring scalability, security, and responsible AI practices.

Responsibilities include deploying multi-agent workflows, optimizing RAG architectures, and delivering production-grade Python services with Docker-based CI/CD on

Qualifications

• 5+ years of experience building and deploying AI/ML solutions, incl. LLMs or agentic AI.
• Strong proficiency in Python, ML/DL, NLP, and transformer architectures.
• Hands-on experience with Generative AI, RAG, vector databases, prompt engineering, and agent orchestration frameworks such as LangChain or LangGraph.
• Experience with Azure AI/Azure OpenAI, AWS SageMaker, or Google Vertex AI; Azure preferred.
• Strong SQL and data pipeline experience, with exposure to Databricks, Snowflake, Spark, or Kafka.
• Experience with Docker, CI/CD, Git, and production ML/LLM evaluation and monitoring.
• Knowledge of AI security, Responsible AI, model governance, and validation practices.
• Bachelor's or Master's degree in CS/DS/ML or equivalent practical experience.

Responsibilities

• Design and deploy LLM-powered applications, AI agents, multi-agent workflows, and MCP-based integrations.
• Build and optimize RAG pipelines using embeddings, vector databases, retrieval, and reranking techniques.
• Develop document intelligence solutions for extraction, classification, OCR, and structured data processing.
• Implement model evaluation, monitoring, observability, and human-in-the-loop validation processes.
• Build production-grade Python services and manage deployment through containerization, CI/CD, and cloud infrastructure.
• Collaborate with business and technical stakeholders to translate complex requirements into reliable AI solutions.

Skills

Python

AI/ML engineering

NLP

Transformer architectures

Generative AI

RAG pipelines

LangChain

LangGraph

Azure AI/OpenAI

SQL

Education

Bachelor's or Master's in CS/DS/ML or equivalent

Tools

Docker

CI/CD

Git

Databricks

Spark

Kafka

Job description

We are seeking an experienced AI/ML Engineer to design, develop, and deploy production-ready machine learning, Generative AI, and agentic AI solutions. This hands-on role focuses on building LLM-powered applications, RAG pipelines, AI agents, and document intelligence workflows while ensuring scalability, accuracy, security, and responsible AI practices.

Responsibilities

• Design and deploy LLM-powered applications, AI agents, multi-agent workflows, and MCP-based integrations.
• Build and optimize RAG pipelines using embeddings, vector databases, retrieval, and reranking techniques.
• Develop document intelligence solutions for extraction, classification, OCR, and structured data processing.
• Implement model evaluation, monitoring, observability, and human-in-the-loop validation processes.
• Build production-grade Python services and manage deployment through containerization, CI/CD, and cloud infrastructure.
• Collaborate with business and technical stakeholders to translate complex requirements into reliable AI solutions.

Required Qualifications

• 5+ years of experience building and deploying AI/ML solutions, including recent hands‑on experience with LLMs or agentic AI.
• Strong proficiency in Python, machine learning, deep learning, NLP, and transformer architectures.
• Hands‑on experience with Generative AI, RAG, vector databases, prompt engineering, and agent orchestration frameworks such as LangChain or LangGraph.
• Experience with Azure AI/Azure OpenAI, AWS SageMaker, or Google Vertex AI; Azure preferred.
• Strong SQL and data pipeline experience, with exposure to platforms such as Databricks, Snowflake, Spark, or Kafka.
• Experience with Docker, CI/CD, Git, and production ML/LLM evaluation and monitoring.
• Knowledge of AI security, Responsible AI, model governance, and validation practices.
• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience in healthcare, insurance, or other regulated environments.
• Familiarity with Kubernetes, Terraform, and cloud‑native architectures.
• Experience working with clinical or operational subject matter experts and human‑in‑the‑loop review workflows.