Back-End Developer with AI Experience

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Back-End 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 looking for a Back-End Developer with AI experience to design, build, and maintain server-side applications and services that power AI-driven solutions. The ideal candidate has strong expertise in back-end technologies, database management, and cloud infrastructure, combined with hands-on experience integrating and deploying AI/ML models and APIs.

Key Responsibilities: • Design, develop, and maintain scalable back-end systems, APIs, and microservices. • Integrate AI/ML models (NLP, computer vision, recommendation systems, etc.) into production applications. • Collaborate with front-end developers, AI/ML engineers, and data scientists to deliver end-to-end AI-powered features. • Optimize databases, APIs, and system performance to handle large-scale data processing and real-time AI inference. • Implement secure authentication, authorization, and data protection practices. • Build and manage data pipelines to support training, testing, and deployment of AI models. • Monitor, debug, and improve system reliability and AI feature performance. • Stay current with emerging technologies in AI/ML, cloud services, and back-end frameworks.

Qualifications: •Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience). • Proven experience as a Back-End Developer (3+ years). •Strong proficiency in at least one back-end language/framework (Node.js, Python/Django, Java/Spring Boot, or Go). •Hands-on experience integrating AI/ML APIs or deploying machine learning models into production (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs). • Experience with relational and non-relational databases (MySQL, PostgreSQL, MongoDB, etc.). • Familiarity with RESTful APIs, GraphQL, and microservices architecture. • Knowledge of cloud services (AWS, GCP, or Azure) for deploying AI-enabled applications. • Strong debugging, performance tuning, and problem-solving skills.

Preferred Skills: • Experience with MLOps tools (Kubeflow, MLflow, or Vertex AI). • Knowledge of containerization and orchestration (Docker, Kubernetes). • Background in data engineering (ETL pipelines, real-time data streaming). • Familiarity with serverless computing and edge AI deployment. •Experience with security best practices in AI applications (data privacy, model security).

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. • We have other vacancies that might interest your friends & colleagues. They can check us out at our Jobs Website. • You may also refer your friends using our Affiliate Marketing Program and earn up to $30 if your referral is hired.

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