Role: Senior Machine Learning Engineer/Agentic AI Engineer

Location

* Preferred: Sunrise, Florida

* Also open across New York and Phoenix (depending on availability)

Summary

We are seeking a highly experienced Machine Learning Engineer with strong expertise in Generative AI and Agentic AI to design, build, and deploy enterprise-grade AI solutions. The ideal candidate should have a solid Data Science foundation, experience developing traditional ML models, and hands-on expertise with modern LLM frameworks and AI agent architectures.

must demonstrate practical coding ability and be able to perform hands-on technical tasks without relying on AI-assisted interview responses.

Key Responsibilities

* Design and develop Agentic AI solutions for enterprise applications.

* Build AI agents capable of autonomous reasoning, planning, and execution.

* Develop Retrieval-Augmented Generation (RAG) applications.

* Integrate Large Language Models (LLMs) into enterprise workflows.

* Fine-tune and optimize foundation models where required.

* Develop APIs and production-ready AI services.

* Build scalable ML pipelines for model training and deployment.

* Deploy models into cloud environments.

* Work closely with data engineers and business stakeholders.

* Troubleshoot production AI/ML issues.

* Ensure solutions meet enterprise security and governance standards.

Required Technical Skills

Generative AI

* Large Language Models (LLMs)

* Prompt Engineering

* Agentic AI

* AI Agents

* Retrieval-Augmented Generation (RAG)

* MCP (Model Context Protocol) knowledge preferred

Frameworks

* LangChain

* LangGraph

* LlamaIndex

* AutoGen (preferred)

* CrewAI (preferred)

Machine Learning

Strong understanding of traditional ML algorithms such as:

* XGBoost

* Logistic Regression

* Random Forest

* Decision Trees

* Clustering

* Classification

* Regression

* Feature Engineering

* Model Evaluation

should understand how ML models are built, not just how to call LLM APIs.

Programming

Must have strong hands-on experience with:

* Python

* SQL

* REST APIs

* FastAPI or Flask

Data Science Background

Preferred! should have:

* Statistics

* Probability

* Machine Learning fundamentals

* Data preprocessing

* Model training

* Feature engineering

* Experimentation

* Model optimization

A strong Data Science background is considered a significant advantage.

Cloud Experience

Preferred:

* Azure AI

* AWS SageMaker

* Azure OpenAI

* Databricks

* Docker

* Kubernetes

Preferred Qualifications

* Experience building production AI applications.

* Experience integrating enterprise data sources.

* Ability to explain ML concepts clearly.

* Strong problem-solving skills.

* Ability to work independently.

Experience

* 8+ years overall software engineering experience.

* 3-5+ years in Machine Learning/Data Science.

* 2+ years working with Generative AI/LLMs/Agentic AI in production.

Nice-to-Have

* Experience with enterprise AI platforms.

* Knowledge of MLOps.

* AI governance and responsible AI practices.

* Experience with vector databases (Pinecone, FAISS, ChromaDB, Milvus).

* Experience building multi-agent systems.

Mast have*

* Has a strong Data Science foundation.

* Can build traditional ML models (e.g., XGBoost, Logistic Regression) from scratch.

* Has hands-on experience with Generative AI, RAG, LangChain/LangGraph, and Agentic AI.

* Is an excellent Python developer.

* Can confidently demonstrate real coding skills during technical interviews without relying on AI assistance.

Regards,

Kartik Sana

sana@realtekconsulting.net