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Disclaimer: This is a generic job description for the position stated below. Actual tasks and tools will be discussed further when you reach the final interview stage. Please ensure you apply for the right job based on your location and experience. We prioritize people who can do this successfully!

Full Satck Developer with AI Experience

Wing is on the exciting mission of redefining the future of work for companies worldwide! We are looking to be the one-stop shop for companies that are looking to build world-class teams & place their operations on autopilot.

We are seeking a Full Stack Developer with AI experience to design and implement end-to-end web applications that integrate AI-powered solutions. The ideal candidate is proficient in both front-end and back-end development, with hands-on experience in deploying, integrating, and optimizing AI/ML models within scalable applications.

Key Responsibilities:

Develop and maintain full-stack applications, ensuring seamless integration

between front-end and back-end systems.

Build responsive, user-friendly interfaces while implementing AI-driven

features (e.g., chatbots, recommendation engines, predictive analytics, or

automation tools).

Design and optimize APIs and microservices to connect AI/ML models with

applications.

Collaborate with AI/ML engineers, data scientists, and product managers to

translate business needs into technical solutions.

Deploy and monitor AI models in production environments, ensuring

performance, scalability, and reliability.

Manage databases and implement efficient data pipelines for AI features
Ensure security, compliance, and data privacy in AI-enabled applications
Stay updated on emerging trends in full-stack development, cloud

technologies, and AI/ML advancements.

Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or related field

(or equivalent experience).

Proven experience as a Full Stack Developer (35 years)
Strong front-end skills: JavaScript/TypeScript, React, Angular, or Vue
Strong back-end skills: Node.js, Python/Django/Flask, Java/Spring Boot, or

Go.

Hands-on experience integrating or deploying AI/ML models and APIs

(TensorFlow, PyTorch, Hugging Face, OpenAI, LangChain, etc.).

Proficiency in working with relational and non-relational databases (MySQL,

PostgreSQL, MongoDB, etc.).

Familiarity with RESTful APIs, GraphQL, and microservices
Experience deploying applications on cloud platforms (AWS, GCP, or Azure)

Preferred Skills:

Experience with MLOps pipelines (Kubeflow, MLflow, Vertex AI, SageMaker)
Knowledge of data visualization tools/libraries (D3.js, Chart.js, Recharts)
Familiarity with containerization and orchestration (Docker, Kubernetes)
Understanding of serverless architecture and edge AI deployment
Strong grasp of DevOps practices (CI/CD, automated testing, monitoring)

Technical Requirements:

USB Headset with Noise Cancellation feature
Working Webcam
Computer with at least 1.8 GHz processor and at least 4GB RAM
Main Internet Service Speed: at least 25 Mbps cable connection
Backup Internet Service Speed: at least 10 Mbps

Benefits:

Health Insurance (HMO)
Performance Incentives
Job Security and Stability
Paid Training
Inclusive Culture
Upskilling Opportunities
100% Work-From-Home
Exceptionally Supportive Team
Opportunities for Career Growth
Fun Work Environment
Holiday & Overtime Pay

Schedule: US work hours (20-40 hours per week)

Location: This is a remote job

Please note:

Only qualified candidates will be invited to take the assessment & scheduled for an interview
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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