Software Engineer PL | AI Products

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Accountabilities - Develop, enhance, and maintain core AI product services, prioritizing accuracy, scalability, security, reliability, and observability. - Design and implement production-ready generative and agentic AI capabilities, including AI agents, RAG pipelines, workflow orchestration, LLM integrations, and external tool connections through Model Context Protocol (MCP). - Build and evolve distributed systems using Node.js, Python, and Java, including RESTful APIs, WebSockets, and streaming pipelines. - Integrate microservices, legacy systems, and AI platforms while ensuring consistent communication, resilience, traceability, and reliable agent behavior. - Implement event-driven architectures and asynchronous processing using message brokers and queues such as RabbitMQ and BullMQ. - Design, optimize, and maintain relational, non-relational, and vector databases, including embedding strategies, caching, and eventual consistency. - Contribute to the product's front-end when necessary, using React and TypeScript to support end-to-end delivery. - Investigate and resolve complex production issues in multi-tenant environments, including non-deterministic behavior associated with LLM-based systems. - Maintain high software quality standards through automated testing, agent evaluations (evals), code reviews, and established engineering practices. - Identify new opportunities to apply generative and agentic AI to product and operational challenges beyond existing solutions. - Ra

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