Software Product Engineer

Role Overview

• Design and develop AI-enabled services and applications using Python and modern cloud-native architectures.
• Integrate Large Language Models (LLMs) and AI APIs into production systems to support intelligent automation and decision-making.
• Build scalable microservices and REST APIs that support AI-driven workflows and data processing.
• Develop data pipelines and services that process structured and unstructured data for intelligent applications.
• Implement secure APIs and event-driven architectures that support system integration and AI-enabled services.
• Optimize AI-powered applications for performance, reliability, scalability, and maintainability in cloud environments.
• Collaborate with engineers, product teams, and stakeholders to translate business and AI requirements into deployable solutions.
• Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
• Minimum of 5 years of hands-on experience developing or deploying AI-enabled applications.
• Experience developing cloud-native applications using AWS, Microsoft Azure, or Google Cloud Platform.
• Experience building REST APIs, microservices, and distributed systems that support scalable AI workflows.
• Experience working with modern software development practices, including Git, CI/CD pipelines, containerization, and DevOps methodologies.
• Strong programming skills in Python for developing AI-enabled applications, APIs, and microservices.
• Experience with JavaScript and/or TypeScript to support AI integrations within user-facing applications.
• Hands-on experience integrating Large Language Models (LLMs) and AI services such as OpenAI, Amazon Bedrock, Anthropic Claude, or similar technologies.
• Experience developing scalable, secure, and reliable cloud-based applications.
• Familiarity with containerization technologies and cloud-native application development.
• Demonstrated experience using AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code.
• Strong analytical and problem-solving abilities.
• Excellent verbal and written communication skills.
• Ability to collaborate effectively within cross-functional engineering teams.
• Strong attention to detail and commitment to delivering high-quality software solutions.
• Ability to manage multiple priorities in a fast-paced development environment.

Tech Stack

• AWS
• Azure
• Cloud
• Distributed Systems
• Google Cloud Platform
• JavaScript
• Microservices
• Python
• TypeScript

Benefits

• Medical, Dental, and Vision Insurance.
• 401(k) with Employer Match.
• Paid Time Off (PTO) and Federal Holidays.
• Corporate Laptop.
• Professional Development and Training Opportunities.
• 100% Remote Opportunity.