The Role
Design and build scalable backend services, REST APIs, and microservices for AI-powered applications. Integrate AI models and third-party services, develop reusable components, and own features from architecture through deployment and maintenance. Use AI tools throughout development for coding, debugging, testing, documentation, and optimization. Collaborate with product and engineering teams, evaluate emerging AI technologies, and deliver secure, reliable, production-ready features.
Summary Generated by Built In
About Enveu
Enveu is building AI-powered products for media, OTT, and enterprise workflow automation. We are looking for a Senior AI Backend Engineer who embraces AI as part of their daily development workflow and enjoys building intelligent, scalable, and production-ready applications.
You should be passionate about using AI to write better code, solve problems faster, automate repetitive tasks, and deliver products at startup speed.
Key Responsibilities- Design and build scalable backend services for AI-powered applications.
- Develop REST APIs and microservices that power intelligent workflows.
- Integrate AI models and third-party services into backend systems.
- Build reusable backend components that accelerate product development.
- Leverage AI throughout the software development lifecycle for solution design, coding, debugging, testing, documentation, code reviews, and performance optimization.
- Collaborate closely with Product Managers, Frontend Engineers, and cross-functional teams to transform ideas into production-ready features.
- Take ownership of features from architecture and implementation through deployment and maintenance.
- Evaluate and experiment with emerging AI tools, frameworks, and technologies.
- Continuously improve engineering productivity through AI-assisted development practices.
- 6+ years of backend software development experience.
- Strong proficiency in Java (Java 17+ preferred).
- Hands-on experience with Spring Boot, Spring MVC, Spring Security, and RESTful API development.
- Strong understanding of microservices architecture and distributed systems.
- Experience with PostgreSQL, MySQL, Redis, or similar databases.
- Experience with Kafka, RabbitMQ, or other messaging systems is a plus.
- Experience working with AWS or other cloud platforms.
- Knowledge of Docker, Git, Maven/Gradle, and modern development practices.
- Strong problem-solving, debugging, and analytical skills.
- Comfortable working in a fast-paced startup environment.
- Actively use AI tools in your daily development workflow to improve speed, quality, and productivity.
- Hands-on experience with tools such as ChatGPT, Claude, Cursor, Claude Code, GitHub Copilot, Windsurf, Gemini, and Replit AI.
- Passion for continuously learning and adopting emerging AI tools and development workflows.
- Experience integrating OpenAI, Claude, Gemini, or other LLM APIs.
- Familiarity with AI agents, MCP (Model Context Protocol), Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
- Experience with Docker, Kubernetes, CI/CD pipelines, or event-driven architectures.
- Experience building SaaS or enterprise-grade applications.
- Experience in Media, OTT, or workflow automation platforms.
- Build production-ready features quickly without compromising quality.
- Leverage AI to significantly improve engineering productivity and development efficiency.
- Deliver scalable, secure, and reliable backend services.
- Collaborate effectively across Product, Design, and Engineering teams.
- Continuously explore and apply new AI technologies that create meaningful customer value.
- We care more about how you build than how many technologies you've listed on your résumé.
- If you enjoy using AI to solve problems, automate development, prototype rapidly, and continuously improve the way software is built, we'd love to hear from you.
Skills Required
- 6+ years of backend software development experience
- Strong proficiency in Java, preferably Java 17 or newer
- Hands-on experience with Spring Boot, Spring MVC, Spring Security, and RESTful API development
- Strong understanding of microservices architecture and distributed systems
- Experience with PostgreSQL, MySQL, Redis, or similar databases
- Active daily use of AI development tools to improve speed, quality, and productivity
- Hands-on experience with AI tools such as ChatGPT, Claude, Cursor, Claude Code, GitHub Copilot, Windsurf, Gemini, or Replit AI
- Experience with AWS or other cloud platforms
- Knowledge of Docker, Git, Maven or Gradle, and modern development practices
- Strong problem-solving, debugging, and analytical skills
- Comfort working in a fast-paced startup environment
- Experience with Kafka, RabbitMQ, or other messaging systems
- Experience integrating OpenAI, Claude, Gemini, or other LLM APIs
- Familiarity with AI agents, MCP, RAG, embeddings, and vector databases
- Experience with Kubernetes, CI/CD pipelines, or event-driven architectures
- Experience building SaaS or enterprise-grade applications
- Experience in media, OTT, or workflow automation platforms
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The Company
What We Do
Enveu is a media technology company that helps broadcasters, sports organizations, content owners, and other media companies build and operate branded OTT streaming businesses. Its Experience Cloud supports streaming apps, video content management, subscriptions, and monetization across web, mobile, television, and connected devices. Enveu Flow automates media operations such as live-to-VOD conversion, subtitling, metadata enrichment, and publishing for modern digital audiences.
