Software Development Engineer

Job Summary

Clearwater Analytics is building its Generative AI engineering team, and this role sits at the center of that effort. You will design, implement, and ship LLM-powered agent tools, MCP integrations, and retrieval-augmented generation (RAG) systems that are already in production use and you will do it using AI-assisted development tools, including Claude Code, as a core part of your daily workflow.

This is not exploratory AI work, it is applied engineering on real systems serving institutional investors globally. Fluency with coding assistants is not a perk here; it is a job requirement.

• Build and maintain LLM agent pipelines, MCP integrations, and retrieval-augmented generation (RAG) systems using Python (FastAPI, Lang Chain) and Type Script/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.

• 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, Lang Chain) and Type Script/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.
• 2+ 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.

Competitive base salary and Comprehensive health, dental, and vision benefits. Flexible work arrangements, hybrid and remote options available. Access to cutting-edge AI tools and infrastructure as part of your day-to-day work. A collaborative, high-trust engineering culture that values craft, speed, and continuous learning.

Clearwater Analytics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable law.

$ - $ This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time.

• health/vision/dental insurance
• 401(k)
• PTO
• parental leave
• medical leave
• STD/LTD insurance benefits

Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry’s most comprehensive cloud-native platform for institutional investors across global public and private markets. While legacy systems create risk, inefficiency, and data fragmentation, Clearwater’s single-instance, multi-tenant architecture delivers real-time data and AI-driven insights throughout the investment lifecycle. The platform eliminates information silos by integrating portfolio management,…