Artificial Intelligence Engineer

aptendo; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

You will influence end-to-end AI product delivery, optimize models for real-time and batch workloads, and contribute to a remote-first culture with continuous learning.

Qualifications

• Strong hands-on AI/ML engineering experience.
• Cloud-native mindset.
• Strong problem-solving and communication skills.
• Nice to have: Edge AI, IoT, robotics, NLP/CV specialization, open-source contributions.
• Build real AI products, not PoCs.
• Work on large-scale enterprise AI platforms.
• Remote-first and flexible culture.
• Continuous learning budget and certifications.
• Competitive compensation and clear growth path.

Responsibilities

• Design, build and deploy machine learning and deep learning models
• Develop NLP, computer vision, recommender and predictive analytics pipelines
• Build and integrate generative AI and LLM-based services
• Deploy AI models on AWS, Azure or GCP in scalable production environments
• Build CI/CD and MLOps pipelines for continuous training, deployment and monitoring
• Optimize models for real-time, batch and edge processing
• Monitor production models and continuously improve performance
• Ensure ethical, explainable and responsible AI practices
• Python (PyTorch, TensorFlow, Scikit-Learn) and data tooling like Spark, Kafka, Databricks

Skills

AI/ML engineering

Problem-solving

Communication

Tools

Python

PyTorch

TensorFlow

Scikit-Learn

Spark

Kafka

Databricks

SQL

NoSQL

Job description

We’re Hiring – Artificial Intelligence Engineer (Remote)

Do you want to build real AI products that are used in production, not just experiments and PoCs?

We are expanding our AI Engineering practice and are looking for an Artificial Intelligence Engineer to design, build and deploy scalable AI solutions that power intelligent applications, automation platforms and AI copilots used by global clients.

You will work on NLP, computer vision, recommender systems, predictive analytics and generative AI platforms, collaborating with data scientists, software engineers and product teams.

What you will do

• Design, build and deploy machine learning and deep learning models
• Develop NLP, computer vision, recommender and predictive analytics pipelines
• Build and integrate generative AI and LLM-based services
• Deploy AI models on AWS, Azure or GCP in scalable production environments
• Build CI/CD and MLOps pipelines for continuous training, deployment and monitoring
• Optimize models for real-time, batch and edge processing
• Monitor production models and continuously improve performance
• Ensure ethical, explainable and responsible AI practices
• Python (PyTorch, TensorFlow, Scikit-Learn)
• Spark, Kafka, Databricks
• SQL / NoSQL databases

What we are looking for

• Strong hands-on AI / ML engineering experience
• Cloud-native mindset
• Strong problem-solving and communication skills
• Nice to have: Edge AI, IoT, robotics, NLP/CV specialization, open-source contributions.
• Build real AI products, not PoCs
• Work on large-scale enterprise AI platforms
• Remote-first and flexible culture
• Continuous learning budget and certifications
• Competitive compensation and clear growth path