Description:

Wing is on a mission to redefine the future of work for companies worldwide and is seeking a Back-End Developer with AI experience.
The role involves designing, building, and maintaining server-side applications and services that power AI-driven solutions.
The ideal candidate should have strong expertise in back-end technologies, database management, and cloud infrastructure, along with hands-on experience integrating and deploying AI/ML models and APIs.
Key responsibilities include designing, developing, and maintaining scalable back-end systems, APIs, and microservices.
The developer will integrate AI/ML models into production applications and collaborate with front-end developers, AI/ML engineers, and data scientists to deliver end-to-end AI-powered features.
Responsibilities also include optimizing databases, APIs, and system performance for large-scale data processing and real-time AI inference, implementing secure authentication and data protection practices, and building data pipelines for AI model support.
The developer will monitor, debug, and improve system reliability and AI feature performance while staying current with emerging technologies in AI/ML, cloud services, and back-end frameworks.

Requirements:

A Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience is required.
Proven experience as a Back-End Developer with at least 3 years of experience is necessary.
Strong proficiency in at least one back-end language/framework such as Node.js, Python/Django, Java/Spring Boot, or Go is required.
Hands-on experience integrating AI/ML APIs or deploying machine learning models into production using tools like TensorFlow, PyTorch, Hugging Face, or OpenAI APIs is essential.
Experience with relational and non-relational databases such as MySQL, PostgreSQL, or MongoDB is required.
Familiarity with RESTful APIs, GraphQL, and microservices architecture is necessary.
Knowledge of cloud services (AWS, GCP, or Azure) for deploying AI-enabled applications is required.
Strong debugging, performance tuning, and problem-solving skills are essential.
Preferred skills include experience with MLOps tools, knowledge of containerization and orchestration, a background in data engineering, familiarity with serverless computing, and experience with security best practices in AI applications.

Health Insurance (HMO) is provided.
Performance incentives are available.
Job security and stability are guaranteed.
Paid training opportunities are offered.
The company promotes an inclusive culture and provides upskilling opportunities.
The position allows for 100% work-from-home flexibility.
Employees will be part of an exceptionally supportive team.
There are opportunities for career growth within the company.
A fun work environment is fostered.
Holiday and overtime pay are included.

Skills