Full Stack Engineer

Atlanta, Georgia, United States

Apply with AI Apply

Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology & ServicesIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, along with at least three years of professional experience in full stack web development. Proficiency in modern frontend frameworks such as React, Vue.js, or Angular, and JavaScript/TypeScript is required, alongside experience with backend development using Python, Node.js, or similar technologies. Strong knowledge of RESTful APIs, GraphQL, and microservices architecture, combined with familiarity with databases (SQL and NoSQL) and data modeling, is also necessary. Understanding of version control systems (Git) and agile development practices, along with knowledge of responsive design principles and cross-browser compatibility, are essential.

Responsibilities

The Full Stack Engineer will be responsible for designing and developing responsive web applications and user interfaces for AI-powered platforms and tools, building and deploying chatbot interfaces and conversational AI platforms with intuitive user experiences, integrating frontend applications with machine learning models, APIs, and backend services, developing real-time dashboards and analytics interfaces for business users and operational teams, implementing secure authentication, authorization, and data access controls, optimizing application performance, scalability, and user experience across different devices and browsers, collaborating with data scientists, ML engineers, and business stakeholders to translate requirements into technical solutions, maintaining and enhancing existing applications while building new features and capabilities, implementing CI/CD pipelines and deployment automation for web applications, and focusing on user-centric design, integration expertise, collaboration, problem-solving, quality focus, and adaptability.

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

Full Stack Engineer

Requirements

Responsibilities

Skills

ShyftLabs

About ShyftLabs

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.

Full Stack Developer, AI and LLM