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Machine Learning Engineer

Realign

On-siteSunrise, FLsenior$113kPosted 15h ago

Job description

Sunrise, Florida 33313 Posted August 25th, 2026

Job Type: Full Time
Job Category: IT

Job Description

Job Title: Machine Learning Engineer

Location: Sunrise, FL

Full Time

Job Description

Role - Machine Learning Engineer

Experience Required - 8+ Years

We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.

Must Have Technical/Functional Skills:

We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.

  • Implement short-term and long-term memory strategies for LLM-based systems.

  • Optimize prompts, retrieval pipelines, and orchestration logic.

  • Collaborate with product and platform teams to deliver scalable AI solutions.

Required Qualifications

  • Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)

  • Hands-on experience with LangChain and/or LangGraph.

  • Solid understanding of LLM memory architecture and state management.

  • Proficiency in Python and ML engineering best practices.

Nice to Have

  • Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).

  • Experience deploying ML/GenAI systems in production environments.

  • data scientist

  • Can do ML model

Roles & Responsibilities

  • Design, develop, and deploy GenAI applications using LLMs.

  • Build and implement agentic workflows using LangChain/LangGraph.

  • Develop ML models and production-ready AI solutions.

  • Implement and manage LLM memory and state management strategies.

  • Optimize prompts, retrieval pipelines, and orchestration workflows.

  • Collaborate with product and platform teams to deliver scalable AI solutions.

  • Deploy, monitor, and maintain AI/ML systems in production environments.

  • Evaluate and integrate open-source and proprietary LLMs.

Required Skills

AWS Engineer DevOps Engineer