Optimization Engineer (Algorithm,LLM, Miami)

Expert Executive Recruiters (EER Global); Orlando (FL); Hybrid; USD 80,000 - 110,000; Full time

Benefits offered by this job

Competitive compensation package

Excellent benefits

Supportive learning environment

Job summary

A leading AI technology company is seeking an engineer to develop algorithmic solutions impacting pricing decisions. You will work on a modern tech stack, collaborating across teams to ensure robust algorithm deployment. Candidates should have 3+ years in algorithm development and expertise in Python. This hybrid role requires some time in the Miami office, offering competitive compensation and benefits.

Qualifications

• 3+ years of experience in algorithm development using Python.
• Fluent with Python and relevant libraries.
• Experience with SQL and NoSQL databases.

Responsibilities

• Research, design, and develop algorithms focused on pricing and optimization.
• Implement and fine-tune mathematical models and heuristics.
• Ensure deployed algorithms deliver high performance, scalability, and reliability.

Skills

Algorithm development

Python

Data structures

Statistical modeling

Education

B.Sc. or Master’s degree in Computer Science, Mathematics, Engineering, or a related field

Tools

NumPy

SciPy

Pandas

SQL

NoSQL

Job description

Overview

Our client is a fast-growing AI technology company helping enterprise organizations modernize and automate complex decision-making processes at scale. By partnering with industry leaders, they’re building next-generation platforms that replace manual workflows with real-time, AI-driven systems — enabling smarter, faster, and more dynamic operations.

We’re looking for an engineer who’s not just driven by code, but by the impact his work has on real-world outcomes. This is a high-impact role where you’ll be designing and deploying algorithmic solutions that directly influence how the product makes pricing decisions in real time.

Your focus will be on building the systems that sit at the core of the platform’s pricing and optimization engine. You’ll work with structured and linguistic data, tapping into insights from large language models (LLMs) to drive smarter, more dynamic strategies. The challenges here aren’t theoretical — they’re about scale, reliability, and delivering measurable value to users.

You’ll be hands-on with a modern tech stack in an environment that blends algorithmic depth with AI innovation. This includes developing, fine-tuning, and integrating algorithms into production systems that are performance-critical and highly visible. You’ll collaborate across product and engineering teams, shaping everything from pricing logic to deployment strategies — all while ensuring that what you build is robust, scalable, and performs flawlessly under real-world conditions.

Responsibilities

• Research, design, and develop algorithms focused on pricing and optimization to drive intelligent, data-backed product decisions
• Work with large-scale structured and linguistic datasets, applying efficient data processing techniques to extract actionable insights
• Implement and fine-tune mathematical models, heuristics, and algorithmic solutions leveraging outputs from large language models (LLMs)
• Collaborate closely with data scientists, product managers, and engineers to seamlessly integrate algorithms into live production systems
• Ensure deployed algorithms deliver high performance, scalability, and reliability in real-world, production-critical environments

Requirements

• 3+ years of experience in algorithm development using Python
• Fluent with Python and libraries such as NumPy, SciPy, Pandas or similar ones
• Proficiency with SQL and NoSQL databases
• Strong background in data structures, algorithms, and computational complexity, with hands-on experience applying optimization techniques, graph algorithms, or statistical modeling to solve complex problems
• B.Sc. or Master’s degree in Computer Science, Mathematics, Engineering, or a related field

Advantages

• Practical experience with mathematical optimization methods such as linear programming and convex optimization to enhance algorithmic efficiency
• Familiarity with MLOps practices and cloud infrastructure tools like Kubernetes, Airflow, Dagster, or Docker to support scalable and reliable deployment

The company is committed to creating a diverse environment and is proud to be an equal-opportunity employer. They provide an environment built for continuous learning and professional growth — you’ll work with a top-tier tech stack, alongside smart, collaborative peers. On top of that, expect a competitive compensation package, excellent benefits, and a culture that actually supports your development.

This is a hybrid role, with 1–2 days a week in the Miami office, still the company is open and flexible for the right person.