AI Engineer

Original job posting

Design, develop, and implement AI/ML models, algorithms, and software, while researching new techniques and integrating AI into existing products and infrastructure. Optimize models for accuracy, latency, and scalability, and establish best practices for developing and deploying AI systems.

Job details

Search AI Engineer We are an early stage startup developing cutting-edge AI technology. We are looking for a talented AI engineer to join our small but growing team. You will have the opportunity to take on a role in shaping our AI architecture and capabilities. Responsibilities: Design, develop and implement AI/ML models, algorithms, and other software to power our products Research and evaluate new AI techniques and technologies to improve our platform Collaborate with product and engineering teams to identify use cases for AI and integrate models into existing infrastructure Optimize model performance for metrics like accuracy, latency, and scalability Establish processes and best practices for development and deployment of AI systems Requirements: Experience in developing and deploying AI or ML systems Strong software engineering skills and experience with languages like Python and Go Experience with cloud platforms like AWS, GCP or Azure Knowledge of AI best practices related to bias, explainability, and ethical AI BS or MS degree in Computer Science, Engineering or related technical field Nice To Have: Experience taking AI models into production Background in eCommerce or related fields AI Engineer We are an early stage startup developing cutting-edge AI technology. We are looking for a talented AI engineer to join our small but growing team. You will have the opportunity to take on a role in shaping our AI architecture and capabilities. Responsibilities: Design, develop and implement AI/ML models, algorithms, and other software to power our products Research and evaluate new AI techniques and technologies to improve our platform Collaborate with product and engineering teams to identify use cases for AI and integrate models into existing infrastructure Optimize model performance for metrics like accuracy, latency, and scalability Establish processes and best practices for development and deployment of AI systems Requirements: Experience in developing and deploying AI or ML systems Strong software engineering skills and experience with languages like Python and Go Experience with cloud platforms like AWS, GCP or Azure Knowledge of AI best practices related to bias, explainability, and ethical AI BS or MS degree in Computer Science, Engineering or related technical field Nice To Have: Experience taking AI models into production Background in eCommerce or related fields © 2025 Maru AI. All rights reserved. Product Home Product Pricing Documentation Thought Leadership ROI Calculator Company About Careers Contact Legal EULA Terms and Conditions Privacy Policy

What you’ll do

Design, develop, and implement AI/ML models, algorithms, and software, while researching new techniques and integrating AI into existing products and infrastructure. Optimize models for accuracy, latency, and scalability, and establish best practices for developing and deploying AI systems.

Requirements

Candidates should have experience developing and deploying AI or ML systems, strong software engineering skills, and experience with Python and Go. The role requires familiarity with cloud platforms and responsible AI practices, plus a bachelor's or master's degree in computer science, engineering, or a related technical field.

Listed skills

• Python · Preferred
• Go · Preferred
• Amazon Web Services · Preferred
• Google Cloud · Preferred
• Microsoft Azure · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI/ML Model Development
• AI Architecture
• Algorithm Development
• Python
• Go
• Cloud Platforms
• AWS
• GCP
• Azure
• Model Performance Optimization
• AI Model Deployment
• Bias Mitigation
• Explainable AI
• Ethical AI
• Software Engineering

Job areas

• Technology
• Software
• Engineering
• Data & Analytics
• Science & Research