This role is backend-first, with a strong emphasis on TypeScript, Node.js, SDK ownership, and system integrations, while also collaborating closely with frontend teams to ensure AI capabilities are easily consumable within user-facing products.
Key Responsibilities
Design, implement, and maintain AI-focused SDKs that enable seamless communication between AI services and application layers
Build backend integrations to embed Generative AI features directly into Salla s core product
Develop and maintain API integrations and Model Context Protocol (MCP) servers that allow AI agents to interact with internal systems, external tools, and databases
Ensure type-safe, scalable, and high-performance TypeScript code, following backend best practices
Collaborate closely with frontend engineers to define AI data contracts, schemas, and interfaces
Support or directly implement frontend integrations for AI-powered features when needed
Optimize AI-related data flows, including streaming responses and real-time interactions
Participate in architecture discussions, code reviews, and technical decision-making
Preferred Qualifications
Familiarity with AI systems, including Agentic AI, LLM orchestration, or streaming AI responses
Experience building or integrating AI-powered features into production applications
Hands-on experience with modern frontend frameworks (React, Vue, or similar)
Exposure to cloud and DevOps tooling such as Docker, Kubernetes, AWS, or CI/CD pipelines
Experience working in cross-functional product teams involving AI, backend, and frontend engineers
4+ years of backend development experience, with a strong focus on TypeScript and Node.js
Proven experience designing and maintaining RESTful APIs and third-party integrations
Solid understanding of relational databases (PostgreSQL or MySQL), including query optimization
Strong knowledge of software design principles (SOLID, clean architecture, design patterns)
Experience working with Git in structured team workflows (e.g., Git Flow, PR-based development)
Hands-on experience with unit testing and integration testing
Good understanding of how frontend applications consume backend services, including modern JavaScript (ES6+)
Preferred Qualifications
Familiarity with AI systems, including Agentic AI, LLM orchestration, or streaming AI responses
Experience building or integrating AI-powered features into production applications
Hands-on experience with modern frontend frameworks (React, Vue, or similar)
Exposure to cloud and DevOps tooling such as Docker, Kubernetes, AWS, or CI/CD pipelines
Experience working in cross-functional product teams involving AI, backend, and frontend engineers
