Back-End Developer, AI

September 30

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Wing Assistant

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B2B • SaaS • Productivity

Wing Assistant is a company specializing in providing virtual assistant services to businesses worldwide. The company offers a wide range of services including general virtual assistant work, executive assistance, customer service, bookkeeping, and digital marketing. Wing Assistant aims to enhance productivity for startups and enterprise teams by delegating tasks to dedicated virtual assistants, reducing operational load, and enabling businesses to focus on core activities. Their services are accessible via a subscription model, providing flexible and cost-effective solutions compared to traditional hiring methods. Clients benefit from a dedicated assistant model where the assistant works solely for their business, gaining a deeper understanding of their processes over time.

501 - 1000 employees

🤝 B2B

☁️ SaaS

⚡ Productivity

💰 $2.1M Seed Round on 2022-03

📋 Description

• 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.

🎯 Requirements

• 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: Experience with MLOps tools (Kubeflow, MLflow, or Vertex AI). • Preferred: Knowledge of containerization and orchestration (Docker, Kubernetes). • Preferred: Background in data engineering (ETL pipelines, real-time data streaming). • Preferred: Familiarity with serverless computing and edge AI deployment. • Preferred: Experience with security best practices in AI applications (data privacy, model security). • Technical requirements: USB Headset with Noise Cancellation, Working Webcam, Computer with at least 1.8 GHz processor and at least 4GB RAM, Main Internet 25 Mbps, Backup Internet 10 Mbps. • Schedule: US work hours (20-40 hours per week).

🏖️ 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