AI Engineer

Eightpoint; Fort Myers (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Unlimited PTO

Flexible schedules

Free lunches

Job summary

Eightpoint is seeking a self-directed AI/ML Engineer to join the Mobile Group, designing, building, and deploying AI-powered features for our iOS and Android apps. You’ll tackle complex problems from concept to production, leveraging LLMs, RAG pipelines, vector databases, embedding models, PyTorch or TensorFlow, and SageMaker to design, train, and deploy models that power personalized user experiences.

You’ll collaborate with Product Managers, Mobile Engineers, Designers, and Data teams to

Qualifications

• Experience with LLMs and retrieval-augmented generation (RAG) pipelines.
• Proficient in PyTorch or TensorFlow for model development.
• Experience deploying ML models on cloud platforms (e.g., AWS SageMaker).
• Experience with dataset creation, labeling, and evaluation.
• Familiarity with telemetry/logging for production ML systems.

Responsibilities

• Design, build, and deploy AI-powered features for iOS/Android apps.
• Own model selection, experimentation, evaluation, and production deployment.

Skills

LLM applications

RAG pipelines

vector databases

embedding models

LangChain/LangGraph

LoRA/PEFT

PyTorch

TensorFlow

dataset creation

AWS SageMaker

model evaluation

telemetry/logging

Tools

FastAPI

HuggingFace

Vertex AI

ONNX

Job description

Our innovative culture thrives on collaboration, data-driven decisions, and a startup mindset. Join our team and enjoy top-tier benefits, unlimited PTO, flexible schedules, free lunches, and the opportunity to work alongside a world-class team of professionals.

About the Role

We're looking for a self-directed AI/ML Engineer to join the Mobile Group at Eightpoint, where you'll be responsible for designing, building, and deploying AI-powered features that directly enhance our portfolio of mobile applications on iOS and Android.

In this role, you'll take ownership of complex problems from concept through production, leveraging large language models (LLMs), computer vision, recommendation systems, predictive models, and other machine learning technologies to create intelligent, personalized user experiences.

You’ll collaborate closely with Product Managers, Mobile Engineers, Designers, and Data teams. This will lead to identifying opportunities where AI can drive engagement, retention, and monetization while remaining responsible for the technical architecture, model selection, experimentation, evaluation, and production deployment of AI solutions.

Who You Are

• Deep experience with LLM application development: Retrieval-Augmented Generation (RAG), vector databases, and embedding models
• LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
• Fine-tuning experience, specifically LoRA (PEFT and quantization a plus)
• PyTorch and/or TensorFlow
• Dataset creation—sourcing, curating, and building datasets for training and evaluation
• AWS SageMaker
• Evaluation of model and retrieval quality (eval datasets, measuring retrieval performance, regression testing)
• Telemetry and logging for production systems

Preferred Qualifications

• FastAPI
• Public presence on HuggingFace (model/dataset contributions)
• Experience with managed ML platforms beyond SageMaker (Vertex AI, etc.)
• ONNX (model export/optimization for inference)