Machine Learning Engineer – Generative AI

Henderson Scott; Town of Florida (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Bonus

Benefits package

Job summary

Henderson Scott in Sunrise, FL is seeking two experienced Machine Learning Engineers to design, build and deploy production-grade Generative AI solutions for a global financial services organization.

You will work across the full development lifecycle, from model selection and experimentation through to deployment, monitoring and optimisation in production, with hands-on work on Large Language Models, agentic AI and cloud-based AI architectures.

Qualifications

• 8+ years of experience across machine learning, data science or AI engineering.
• Strong commercial experience developing solutions with Large Language Models.
• Hands-on experience with LangChain and/or LangGraph.
• Advanced Python development skills.
• Experience deploying machine learning models to production.
• Knowledge of ML engineering and production software development practices.

Responsibilities

• Design, develop and productionise Generative AI applications powered by open-source and proprietary LLMs.
• Build agentic workflows and orchestration solutions using LangChain and LangGraph.
• Develop machine learning models and scalable, production-ready AI services.
• Implement short-term and long-term memory strategies for LLM-based systems.
• Design and manage state-management patterns for multi-step AI workflows.
• Optimise prompts, retrieval pipelines and orchestration logic.
• Evaluate and integrate models including OpenAI, Anthropic, Llama and Mistral.
• Deploy, monitor and maintain AI and ML systems in production.
• Collaborate with product, engineering and platform teams to deliver secure and scalable solutions.

Skills

Large Language Models

Python programming

LLM memory architecture

Prompt engineering

AI/ML production engineering

Enterprise AI experience

Tools

LangChain

LangGraph

OpenAI

Anthropic

Llama

Mistral

Google Cloud Platform

Vertex AI

BigQuery

Google Cloud Storage

Job description

Location: Sunrise, Florida

Compensation: $120,000 - $160,000 per annum, plus bonus & benefits

Experience required: 8+ years

Interview process: In-person interviews in Sunrise, FL

We are hiring two experienced Machine Learning Engineers to help design, build and deploy production-grade Generative AI solutions for a leading global financial services organisation.

This is an excellent opportunity for an engineer with strong hands-on experience across Large Language Models, agentic AI and machine learning engineering. You will work across the full development lifecycle, from model selection and experimentation through to deployment, monitoring and optimisation in production.

What you'll be doing

• Design, develop and productionise Generative AI applications powered by open-source and proprietary LLMs
• Build agentic workflows and orchestration solutions using LangChain and LangGraph
• Develop machine learning models and scalable, production-ready AI services
• Implement short-term and long-term memory strategies for LLM-based systems
• Design and manage state-management patterns for multi-step AI workflows
• Optimise prompts, retrieval pipelines and orchestration logic
• Evaluate and integrate models including OpenAI, Anthropic, Llama and Mistral
• Deploy, monitor and maintain AI and ML systems in production
• Collaborate with product, engineering and platform teams to deliver secure and scalable solutions

What we're looking for

• 8+ years of experience across machine learning, data science or AI engineering
• Strong commercial experience developing solutions with Large Language Models
• Hands-on expertise with LangChain and/or LangGraph
• Advanced Python development skills
• Experience building and deploying machine learning models
• Strong understanding of LLM memory architecture, state management and agentic workflows
• Knowledge of prompt engineering, retrieval pipelines and AI orchestration
• A solid understanding of ML engineering and production software development practices
• Experience with Google Cloud Platform, particularly Vertex AI, BigQuery and Google Cloud Storage
• Experience deploying GenAI or machine learning applications into production environments
• Knowledge of scalable cloud-based AI architectures
• Experience supporting AI systems within a complex enterprise environment

Important interview requirement

The interview process is strictly in person in Sunrise, Florida. Virtual interviews cannot be accommodated, so applicants must be able to attend on-site.