ShyftLabs

Full Stack Engineer

Atlanta, Georgia, United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Full Stack Engineer

Position Overview

ShyftLabs is seeking an experienced Full Stack Engineer to join our growing team in Atlanta. You will be responsible for building and deploying scalable web applications and platforms that integrate with AI and machine learning systems. This role focuses on developing user-friendly interfaces for complex data-driven applications and ensuring seamless integration with backend ML services.

ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsibilities

  • Design and develop responsive web applications and user interfaces for AI-powered platforms and tools
  • Build and deploy chatbot interfaces and conversational AI platforms with intuitive user experiences
  • Integrate frontend applications with machine learning models, APIs, and backend services
  • Develop real-time dashboards and analytics interfaces for business users and operational teams
  • Implement secure authentication, authorization, and data access controls
  • Optimize application performance, scalability, and user experience across different devices and browsers
  • Collaborate with data scientists, ML engineers, and business stakeholders to translate requirements into technical solutions
  • Maintain and enhance existing applications while building new features and capabilities
  • Implement CI/CD pipelines and deployment automation for web applications

Key Attributes

  • User-centric design: Passionate about creating intuitive, accessible interfaces that make complex AI systems easy to use
  • Integration expertise: Strong ability to connect frontend applications with diverse backend systems and APIs
  • Collaboration: Excellent communication skills to work with cross-functional teams including data scientists and business users
  • Problem-solving: Ability to translate business requirements into technical solutions and troubleshoot complex integration issues
  • Quality focus: Commitment to writing clean, maintainable code and implementing robust testing practices
  • Adaptability: Comfortable working with emerging AI technologies and rapidly evolving requirements

Basic Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related technical field
  • 3+ years of professional experience in full stack web development
  • Proficiency in modern frontend frameworks (React, Vue.js, or Angular) and JavaScript/TypeScript
  • Experience with backend development using Python, Node.js, or similar technologies
  • Strong knowledge of RESTful APIs, GraphQL, and microservices architecture
  • Experience with AWS cloud platform and deployment technologies
  • Familiarity with databases (SQL and NoSQL) and data modeling
  • Knowledge of version control systems (Git) and agile development practices
  • Understanding of responsive design principles and cross-browser compatibility

Preferred Qualifications

  • Experience building chatbot interfaces or conversational AI applications
  • Knowledge of real-time communication technologies (WebSockets, Server-Sent Events)
  • Experience with data visualization libraries (D3.js, Chart.js, or similar)
  • Familiarity with containerization (Docker) and orchestration (Kubernetes)
  • Understanding of ML model integration and API consumption
  • Experience with testing frameworks and automated testing practices
  • Knowledge of UI/UX design principles and accessibility standards

Employment Type

Full-Time

Location Type

[Location Type not specified]

Salary

[Salary not specified]

Company Information & Benefits

ShyftLabs is proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is preferably hybrid, with 3 days per week spent in the office. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, and gender identity.

Skills

Responsive Web Development
UI/UX Design
Frontend Development
Backend Integration
API Integration
Machine Learning
AI Platforms
Real-time Dashboards
Authentication & Authorization
Performance Optimization
CI/CD
Deployment Automation
Cross-functional Collaboration
Problem-Solving

ShyftLabs

Data-driven decision-making solutions for organizations

About ShyftLabs

ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.

None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees

Benefits

Health Insurance
Hybrid Work Options
Professional Development Budget

Risks

Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.

Differentiation

ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.

Upsides

Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.

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