Software Engineer III (AI Applications & Full Stack Development)

Job Title: Software Engineer III (AI Applications & Full Stack Development)

Location: Seattle, WA (Hybrid)

Duration: 6-Month Contract

We are seeking an experienced Software Engineer III to build innovative AI-powered applications, automation workflows, developer tools, and internal platforms. This role combines full-stack engineering, AI integration, rapid prototyping, and system design to help teams improve productivity and scale operational processes.

The ideal candidate has experience building modern applications using AI models, developing end-to-end solutions, and partnering with cross-functional stakeholders to transform complex business needs into practical software solutions.

Top Skills:

AI Applications & Agentic Workflows

Full Stack Development (React & Python)

System Design & Software Architecture

Minimum Qualifications

5+ years of professional software engineering experience.

Strong experience with software architecture and system design.

Hands-on experience building applications that leverage AI/LLM technologies.

Strong proficiency in: React, JavaScript/TypeScript, Python

Experience developing and maintaining full-stack applications.

Experience integrating APIs, services, and cloud-based technologies.

Strong problem-solving and debugging skills.

Ability to work effectively in a fast-paced and ambiguous environment.

Preferred Qualifications

Experience building AI agents, workflow automation systems, or intelligent assistants.

Experience with developer productivity tools and internal platforms.

Strong cross-functional collaboration and stakeholder management skills.

Experience rapidly prototyping and validating new technologies.

Familiarity with immersive technologies, AR/VR, or interactive digital experiences.

Previous experience working in large-scale technology environments.

What You'll Do

Design, build, and deploy intelligent workflow automation solutions that streamline manual processes.

Develop and maintain web-based tools, dashboards, and internal platforms that surface actionable insights and operational data.

Prototype and evaluate emerging AI-powered solutions, quickly testing and iterating on new ideas.

Integrate third-party AI models and services into production applications.

Build validation frameworks, evaluation pipelines, and monitoring systems to measure the effectiveness of AI-driven solutions.

Enhance knowledge management and information retrieval systems by integrating multiple data sources.

Collaborate with product, operations, and engineering stakeholders to define requirements and deliver impactful solutions.

Create technical documentation, APIs, architecture diagrams, and implementation guides.

Leverage AI-assisted development tools to improve engineering efficiency and delivery speed.