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 (,

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 jobPlease 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.

Originally posted on Himalayas