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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Backend AI Developer (AI Agents - **Company:** VDart, Inc. - **Location:** Ontario, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Application Performance Management, Application Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Integration, DevOps, Distributed Systems, Github, Monitoring of Systems, Python (Programming Language), SQL Azure, Language Modeling, Node.Js, Software Tools, Search Technologies, Software Engineering, SQL Databases, Unstructured Data, Enterprise Software Applications, Azure Data Factory, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Caching, Backend, Git, Vue.js, Event Driven Architecture, Build Management, Containerization, AI Platforms, AngularJS, Bicep, Cosmos DB, Azure AKS, Graphql, Machine Learning Operations, Front End Software Development, Virtual Agents, Api Design, Restful APIs, Terraform, GPT, Software Version Control, Data Pipelines, Serverless Computing, Docker, Databricks, Microservices - **Published:** June 29, 2026 - **Apply:** https://www.dice.com/job-detail/6cec616a-0638-4ffb-8a14-91d46eda7b57 ## About the Role * We are looking for a highly skilled Full Stack Backend AI Developer with experience in Agentic AI systems, Lang Chain, LangGraph, and Azure cloud platform. The ideal candidate will design and build scalable backend systems and intelligent AI-powered applications that leverage LLMs, autonomous agents, and modern cloud-native architectures. * This role requires strong backend engineering expertise combined with hands-on experience in building AI agents, multi-agent systems, and GenAI-enabled applications., * 5-8 years of software development experience. * Strong backend development experience in Python (preferred) or Node.js. * Experience building APIs and distributed systems. * Familiarity with frontend frameworks (React/Angular/Vue). AI & Agentic Skills (Mandatory) * Hands-on experience with: * LangChain * LangGraph * Solid understanding of: * LLMs (GPT, Azure OpenAI) * Prompt engineering * RAG architecture * Experience building AI agents / autonomous workflows. * Knowledge of embeddings, vector stores, and semantic retrieval. Azure & Cloud Skills * Strong experience with Microsoft Azure. * Experience with: * Azure OpenAI * Azure AI Search * Azure Functions / App Services * Cosmos DB / Azure SQL * Understanding of cloud-native architectures and microservices. DevOps & Tools * Experience with CI/CD pipelines. * Knowledge of Docker and Kubernetes (AKS preferred). * Familiarity with Git, testing frameworks, and monitoring tools. Nice to Have * Experience with LangGraph advanced workflows. * Knowledge of multi-agent collaboration patterns. * Exposure to real-time/event-driven architectures. * Experience with data engineering tools (ADF, Databricks). * Understanding of secure AI practices and responsible AI. Soft Skills * Strong problem-solving and analytical thinking. * Excellent communication and teamwork. * Ability to work in an agile, fast-paced environment. * Passion for AI innovation and continuous learning. ## Description Backend & Full Stack Development * Design and develop scalable backend systems using Python/Node.js. * Build RESTful and GraphQL APIs for AI-powered applications. * Develop full-stack applications integrating frontend (React/Angular) with backend AI services. * Ensure performance, scalability, and security of applications. AI Agent & GenAI Development * Build AI agents and multi-agent systems using: * LangChain * LangGraph * Semantic Kernel (nice to have) * Design intelligent workflows involving: * Task planning and execution * Tool usage and orchestration * Memory and context handling * Develop RAG (Retrieval Augmented Generation) pipelines. * Integrate LLMs using Azure OpenAI / OpenAI APIs. * Implement prompt engineering and evaluation frameworks. Cloud & Azure Development * Build and deploy applications using Azure services such as: * Azure OpenAI Service * Azure App Services / Azure Functions * Azure Kubernetes Service (AKS) * Azure Data Factory / Synapse (for data pipelines) * Azure Cosmos DB / SQL Database * Azure AI Search (vector search for RAG) * Implement cloud-native, microservices-based architectures. Data & Integration * Work with structured and unstructured data for AI applications. * Implement vector databases and embeddings for semantic search. * Integrate external APIs, enterprise systems, and third-party tools. DevOps, MLOps & LLMOps * Implement CI/CD pipelines using Azure DevOps or GitHub Actions. * Manage LLMOps lifecycle: * Prompt/version control * Model evaluation and monitoring * Use Infrastructure as Code (Terraform, Bicep, ARM). * Containerize applications using Docker and deploy to AKS. Performance & Optimization * Optimize AI workloads for accuracy, latency, and cost. * Monitor application performance and system health. * Improve token efficiency and caching strategies. Collaboration & Innovation * Work closely with product, design, and data teams. * Translate business requirements into AI-driven solutions. * Contribute to architecture decisions and innovation initiatives in AI. ## Related Videos - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100)