Fullstack Developer with AI

Client Note - This Requirement is for a Fullstack Developer with AI experience so look for combinations of . Net Fullstack/Java/React/Node etc. Job :- FullStack AI deveoper Job Type :- Remote Position Overview This role focuses on building and maintaining advanced AI-driven code generation and multi-agent orchestration systems. The engineer will work across a broad technology stack, including multiple programming languages, LLM integrations, cloud infrastructure, and developer tooling. The position requires expertise in LLM ecosystems such as Anthropic Claude, OpenAI GPT-4o, and Azure OpenAI, along with orchestration frameworks like LangGraph and LangChain. The engineer will develop code analysis and generation pipelines using AST libraries, template engines, and custom parsers while deploying solutions on Google Cloud Platform using serverless containers, Kubernetes, and CI/CD pipelines. The role also involves implementing monitoring, distributed tracing, and automated alerting. Key Responsibilities - Design and implement multi-agent orchestration pipelines using LangGraph and LangChain . - Integrate and manage LLM providers including: - Anthropic Claude Sonnet 4 - OpenAI GPT-4o - Azure OpenAI - Develop code generation systems using: - Jinja2 - Custom string templating - Python AST - Roslyn (C#) - TypeScript Compiler API - Build code analysis tools using: - tree-sitter - pglast (SQL) - jsonschema - OpenAPI validators - Implement custom parsers and linters for: - Python (Ruff) - JavaScript/TypeScript (ESLint) - C# (Roslyn Analyzers) - SonarQube - Validate generated code using JSON Schema Draft 2020-12 and semantic validators. - Deploy and manage applications on Google Cloud Platform (GCP) using: - Cloud Run - Kubernetes - Manage cloud services including: - Firestore - Google Cloud Storage (GCS) - Cloud Tasks - Build CI/CD pipelines with: - GitHub Actions - Cloud Build - Develop automated tests using: - pytest - xUnit - Jest - JUnit - Playwright - Containerize applications using Docker with multi-stage builds and security scanning. - Configure monitoring and observability: - Cloud Logging - Structured JSON logging - Distributed tracing - Custom dashboards - Automated alerting - Manage package dependencies across Python, Node.js, C#, and Java ecosystems. - Perform API testing using: - httpx - Postman - curl - Debug applications using: - VS Code Debugger - pdb - Chrome DevTools Required Skills Programming Languages - Python 3.11+ - C# (.NET) - Node.js - JavaScript - TypeScript - Java AI & LLM Technologies - LangGraph - LangChain - Anthropic Claude Sonnet 4 - OpenAI GPT-4o - Azure OpenAI Frameworks & Libraries - Starlette (ASGI) - tree-sitter - pglast - jsonschema - OpenAPI Validator - Jinja2 - Python AST - Roslyn - TypeScript Compiler API Code Quality & Validation - JSON Schema Draft 2020-12 - Ruff - ESLint - Roslyn Analyzers - SonarQube Cloud & Infrastructure - Google Cloud Platform (GCP) - Cloud Run - Kubernetes - Firestore - Google Cloud Storage (GCS) - Cloud Tasks DevOps - Git - GitHub - GitHub Actions - Cloud Build - Docker 20+ Testing - pytest - xUnit - Jest - JUnit - Playwright Monitoring - Cloud Logging - Distributed Tracing - Structured JSON Logging Preferred (Bonus) Skills - VS Code with GitHub Copilot - phply (PHP Parser) - Custom Semantic Validators - Custom String Templating - Multi-stage Docker Builds - Docker Security Scanning - httpx - Postman - pdb (Python Debugger) - Chrome DevTools - Custom Monitoring Dashboards - Automated Alerting Systems - pip/uv - npm/yarn - NuGet - Maven/Gradle