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• Design, implement, and maintain AI-focused SDKs that enable seamless communication between AI services and application layers • Build backend services and integrations that make AI capabilities consumable across Salla's products and teams • Develop and maintain API integrations and Model Context Protocol (MCP) servers that allow AI agents to interact with internal systems, external tools, and databases • Design and own a versioned rule/policy engine and the supporting business logic for Salla's integrity systems — translating risk signals and model scores into auditable decisions (state → policy → action) • Model the decision records, state transitions, and audit trails that keep integrity outcomes explainable and reversible (appeals, overrides) • Partner with the integrity/ML lead to consume risk-scoring outputs, and with product teams to define the enforcement-action contracts the engine emits against • 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 • Collaborate with frontend teams on integration contracts for AI-powered features when needed • Optimize AI-related data flows, including streaming responses and real-time interactions • Mentor mid- and junior-level engineers and uphold strong engineering and testing standards across AI and integrity services • Participate in architecture discussions, code reviews, and technical decision-making
• 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+) • Familiarity with AI systems, including Agentic AI, LLM orchestration, or streaming AI responses (nice to have) • Experience building or integrating AI-powered features into production applications (nice to have) • Experience designing rules engines, policy-as-code, state machines, or complex stateful business logic (nice to have) • Strong domain and data modeling for correctness- and audit-critical systems (nice to have) • Hands-on experience with modern frontend frameworks (React, Vue, or similar) (nice to have) • Exposure to cloud and DevOps tooling such as Docker, Kubernetes, AWS, or CI/CD pipelines (nice to have) • Experience working in cross-functional product teams involving AI, backend, and frontend engineers (nice to have) • Bonus: trust & safety, fraud, risk, or marketplace integrity exposure (nice to have)
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