Senior AI Full Stack Developer

Job not on LinkedIn

October 18

Apply Now

Receive Emails with Similar Jobs

Zealogics Inc

WebsiteLinkedInAll Job Openings

Enterprise • SaaS • Artificial Intelligence

Zealogics Inc. is a global technology company headquartered in New Jersey, specializing in IT consulting, engineering, and systems implementation. Founded in 2012, Zealogics provides a wide array of services, including software and hardware engineering, digital transformation, cloud solutions, artificial intelligence, and low-code development. The company aims to empower businesses across various industries such as semiconductor, automotive, finance, healthcare, telecom, and retail, with innovative and scalable solutions that enhance efficiency, agility, and customer experience. Zealogics partners with clients to understand their unique needs, delivering tailored solutions to achieve their business goals.

501 - 1000 employees

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Design, develop, and maintain scalable full-stack applications using modern frameworks (React, Node.js, .NET, or Python). • Integrate Semantic Kernel to orchestrate AI agent workflows and prompt-based task automation. • Develop AI-driven microservices that interact with multiple data sources and APIs (RAG/KAG, Azure OpenAI, etc.). • Implement multi-tenant architectures, role-based access, and data visualization dashboards. • Collaborate with AI engineers to build intelligent workflows that use embeddings, vector stores, and adaptive reasoning chains. • Optimize front-end performance and ensure responsive design using modern UI frameworks. • Manage deployment pipelines using Docker, Kubernetes, and Azure DevOps. • Write clean, testable, and maintainable code aligned with coding best practices.

🎯 Requirements

• 10+ years of experience as a Full Stack Developer. • Strong programming skills in C#, Python, TypeScript, or JavaScript. • Experience with Semantic Kernel and AI orchestration frameworks (LangChain, AutoGen, Semantic Kernel, etc.). • Familiarity with LLM APIs (Azure OpenAI, OpenAI, Anthropic, etc.) and prompt engineering concepts. • Experience building and deploying microservices and RESTful APIs. • Proficiency in front-end frameworks like React.js, Next.js, or Angular. • Strong understanding of cloud services (Azure/AWS) and containerization (Docker, Kubernetes). • Knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Redis, or Cosmos DB). • Understanding of data pipelines, vector databases, and embedding models is a plus.