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

Strong hands-on expertise in Python and SQL; Java preferred
5+ years of development experience in an enterprise-level engineering environment
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

Software Development Engineer III, AI Platform – Finance Products

Key skills