Full Stack Developer with AI Experience

Full Stack 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 (3–5 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 4 GB 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. Salary: ₱42,500 - ₱47,000 per month. #J-18808-Ljbffr