Senior AI Backend Engineer (AI-First)

Location: Noida, India

Department: Technology

Experience: 6+ Years

About Enveu

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.