Provn is a travel technology company seeking an Agentic Software Engineer III to join their team. In this senior full-stack role, you will own technical delivery from design through production, lead technical efforts, and mentor junior engineers while working with AI coding agents to enhance productivity.
Responsibilities:
- Designing, developing, and delivering complex features and services across a full-stack travel platform
- Using Claude Code, Cursor, and GitHub Copilot in daily workflows to accelerate delivery and improve code quality
- Reviewing and validating AI-generated code for correctness, security, performance, and maintainability, and helping set the team's quality bar
- Building and improving internal agentic workflows that automate repetitive engineering tasks like testing, documentation, and code review triage
- Building and configuring Model Context Protocol (MCP) integrations that connect AI agents to internal tools, data sources, and platform services
- Refactoring and modernizing services that have outlasted their original implementations using cloud-native design patterns
- Contributing to architectural decisions across an increasingly distributed architecture
- Advocating for quality, durability, and technical debt reduction with Product Owners, Engineering Managers, and Designers
- Safeguarding the privacy and security of member data in partnership with Risk and Security teams
- Establishing and meeting backend and system SLOs as the platform scales
- Mentoring junior engineers on development practices, code quality, and productive use of AI-assisted tools
Requirements:
- 5-8 years of full-stack development experience building web applications and services
- 2+ years of hands-on experience using AI coding agents in professional development workflows
- Strong proficiency in two or more of TypeScript/JavaScript, Python, or C#/.NET
- Deep experience with modern frontend frameworks: React, Next.js, Vue, or Angular
- Experience architecting and deploying applications on AWS, Azure, or GCP
- Strong foundation in RESTful API design and microservices architecture
- Demonstrated ability to use AI coding agents to accelerate delivery and automate engineering workflows
- Working knowledge of the Model Context Protocol (MCP) and hands-on experience configuring MCP servers
- Experience with prompt engineering for code generation, debugging, testing, and documentation
- Experience with real-time streaming or distributed messaging platforms like Redis, Kafka, or RabbitMQ
- Hands-on experience with Docker, CI/CD pipelines, and infrastructure-as-code
- Agile software delivery experience
- Bachelor's in Computer Science, Computer Engineering, or equivalent experience
- Must be authorized to work in the US. No visa sponsorship
- Bonus points for working knowledge of Azure AI Foundry, RAG, LangChain, or graph-based data technologies (GraphRAG, GraphDB)
- Experience mentoring engineers and leading technical design discussions