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.
Required Skills & Qualifications
- 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.
AI Skills (Must Have)
- 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.
Nice to Have
- 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.
Success Looks Like
- 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.
What We're Looking For
- 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.
