Software Development Engineer

Clearwater Analytics is building a Generative AI engineering team focused on applied engineering for production systems serving institutional investors globally. The Software Development Engineer will design, implement, and maintain LLM-powered agent tools, MCP integrations, and retrieval-augmented generation systems using Python, TypeScript, React, and AI-assisted development tools. The role also involves code reviews, root-cause analysis, requirements translation, architecture improvements, documentation, and testing.

Responsibilities:

• Build and maintain LLM agent pipelines, MCP integrations, and retrieval-augmented generation (RAG) systems using Python (FastAPI, LangChain) and TypeScript/React
• Use AI-assisted development tools, including Claude Code, as a primary part of your engineering workflow for code generation, debugging, and iteration
• Collaborate with team members to optimize and improve existing AI-powered software applications
• Participate actively in code reviews, giving and receiving clear, constructive feedback
• Perform root-cause analyses for software issues and identify effective solutions
• Translate loosely defined requirements into functioning, production-ready code
• Assist in the creation of user stories and estimation of work for project planning
• Suggest design improvements demonstrating a solid understanding of system architecture
• Ensure software applications are scalable, reliable, and secure
• Document software usage, implementation, architecture, design, and APIs
• Write broad unit and integration tests consistently

Requirements:

• Fluency with AI-assisted development tools, Claude Code specifically, as a daily engineering practice, not an occasional experiment
• Hands-on experience building LLM agent tools, agentic workflows, MCP integrations, or retrieval-augmented generation (RAG) systems in a production environment
• Production proficiency in Python 3.11 (FastAPI, LangChain) and TypeScript/React, these are the core languages of this role. Java-only backgrounds are not a fit
• Solid fundamentals in data structures, algorithms, and object-oriented design
• Enthusiasm for building in a fast-moving, AI-native SaaS environment
• Strong teamwork and communication skills, written and verbal
• Ability to manage own time and deliver results on time
• Commitment to continuous learning and improvement
• Exceptional analytical and problem-solving abilities
• Strong attention to detail and documentation skills
• Bachelor's degree in Computer Science or a related field
• 3+ years of production software development experience
• At least 1 year of hands-on experience with LLM, agentic, or AI/ML systems in a production or near-production environment