Full Stack Custom Application Developer (AI Native)
ARCHIVED
We can't find an active application page for this role right now. It may reopen or be listed elsewhere. Use Next Steps to search for an active apply link and similar live jobs.
Insight Global is seeking a Full Stack Developer (AI-Enabled Applications) for a client focused on building modern, intelligent digital solutions. This individual will be responsible for designing, developing, and deploying scalable web and cloud-based applications with embedded AI capabilities. You will work across the full technology stack while integrating features such as chatbots, automation, and predictive analytics into production systems.This is a hands-on engineering role suited for developers who enjoy building end-to-end applications and are excited about applying AI in real-world business environments rather than purely experimental settings.Day-to-Day:-Design and develop full-stack applications using modern frameworks (React, Angular, Vue, Node.js, Python, Java, or .NET)-Build and maintain backend services, RESTful APIs, and microservices-Develop responsive and user-friendly interfaces for web and mobile platforms-Design and optimize SQL and NoSQL databases for performance and scalability-Implement CI/CD pipelines, automated testing, and cloud-native deployments-Build and integrate AI-powered features such as chatbots, recommendation systems, and automation tools-Work with LLMs, vector databases, and RAG pipelines to enhance application capabilities-Evaluate AI model performance, accuracy, and reliability in production environments-Collaborate with product, design, and data teams to translate business needs into technical solutions-Contribute to system architecture, technical design, and engineering best practicesMust-Haves:-2–4+ years of experience in full-stack software development-Proficiency in at least one backend language (Node.js, Python, Java, C#, or Go)-Experience with modern frontend frameworks (React, Angular, Vue, or similar)-Hands-on experience building and consuming REST and/or GraphQL APIs-Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker)-Strong understanding of databases (SQL/NoSQL), schema design, and query optimization-Experience implementing CI/CD pipelines and working with version control (Git)-Hands-on experience integrating AI/ML features (LLMs, NLP, or cloud AI services) into applications-Strong problem-solving skills and ability to work in a fast-paced, collaborative environmentPlusses:-Experience with RAG pipelines, embeddings, and vector databases (Pinecone, FAISS, etc.)-Familiarity with frameworks such as LangChain, LlamaIndex, or Semantic Kernel-Experience with microservices or event-driven architecture (Kafka, SNS/SQS, EventHub)-Knowledge of secure coding practices and API security (OWASP)-Experience with MLOps or model lifecycle management-Mobile development experience (React Native, Flutter, Swift, or Kotlin)-Exposure to building AI-enabled features in production environmentsSalary: $130,000 - $140,000