Full Stack Software Engineer
2 days ago
Full Stack Software Engineer - AI
Location: St. Petersburg, FL or Washington, DC (Hybrid Remote)
Type: Full-Time | Direct Hire | Flexible Remote Options
About the Opportunity
An emerging AI technology firm is revolutionizing how global organizations approach digital transformation. This innovative company combines deep domain expertise with cutting-edge AI software to streamline complex business processes, enhance operational visibility, and drive automation at scale.
We're looking for a
Full Stack Software Engineer - AI
who will play a critical role in designing, building, and optimizing intelligent applications used by enterprise clients around the world.
You'll work across the full technology stack - from front-end interfaces to backend integrations - turning complex challenges into intuitive, scalable solutions powered by AI and automation.
This role is ideal for a developer eager to grow in a collaborative, entrepreneurial team where your ideas are heard and your code makes a visible difference.
Key Responsibilities:
- Design, develop, and deploy full stack applications leveraging modern AI frameworks and cloud infrastructure.
- Build and maintain integrations between systems (ERP, CRM, and procurement software) through RESTful APIs and data pipelines.
- Collaborate with cross-functional teams to translate business requirements into elegant, scalable software solutions.
- Contribute to technical architecture decisions, coding standards, and agile development processes.
- Write clean, efficient, and testable code that meets enterprise-grade performance and security standards.
- Participate in code reviews, documentation, and continuous improvement initiatives.
- Stay current with emerging technologies in AI, automation, and full stack development.
Experience
- 3–6 years of professional experience in software development (frontend and backend).
- Strong proficiency in JavaScript, Python, or TypeScript, and frameworks such as React, , or Django.
- Experience with REST APIs, JSON, SQL/NoSQL databases, and cloud-based development environments (AWS, Azure, or GCP).
- Understanding of data modeling, system integration, and secure application design.
- Excellent problem-solving skills and an ability to collaborate in a fast-paced environment.
- Strong communication and interpersonal abilities, with comfort working across business and technical teams.
Preferred
- Familiarity with AI or machine learning frameworks, or experience in SaaS platforms incorporating automation and analytics.
- Exposure to enterprise or supply chain technology is a plus (ERP, procurement, or manufacturing systems).
- Background in startup or growth-stage software environments, comfortable adapting to evolving priorities.
Benefits
- Competitive salary and performance-based bonuses.
- Collaborative and inclusive culture focused on innovation and learning.
- Direct mentorship from senior engineers and access to emerging AI technologies.
- Meaningful work building intelligent applications that power enterprise success.
- Flexible hybrid environment offering both autonomy and visibility.
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