Software Development Engineer III, AI Platform - Finance Products
Posted May 4, 2026
Key Responsibilities:
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Design and build end-to-end AI products and deployment pipelines. - Own technical architecture for AI workflows including prompt engineering, RAG, and agentic systems. - Develop and review backend services, APIs, and data pipelines powering AI products. - Translate complex Finance problems into scalable AI system designs. - Ensure AI solutions meet standards for performance, reliability, security, and governance. - Drive production readiness including monitoring, logging, evaluation, and cost control. - Establish best practices for AI development, deployment, and maintenance. - Partner closely with Product and stakeholders to shape technical solutions. Qualifications Required:
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Strong hands-on expertise in Python and SQL; Java preferred. - Proven experience building and deploying ML / AI / LLM-powered systems in production. - Deep understanding of prompt engineering, RAG architectures, and agentic workflows. - Experience with modern LLMs and frameworks such as OpenAI, Claude, Gemini, Llama, LangChain, Langflow, LlamaIndex, Semantic Kernel. - Strong software engineering background: API design, distributed systems, system integration. - Experience with data platforms, semantic modeling, and time-series logic. - Good knowledge of Data Structures and Algorithm. - Solid understanding of cloud-native architectures, containers, and CI/CD pipelines. - Experience with MLOps concepts such as monitoring, evaluation, and lifecycle management. - Understanding of AI security, auditability, and compliance considerations. - Ability to rapidly learn and apply new AI tools and technologies. Key Responsibilities: