Software Development Engineer

Posted Yesterday
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Boise, ID, USA
Hybrid
Mid level
Fintech • Software • Financial Services
See Clearly. Act Confidently.
The Role
Build and maintain production LLM agent pipelines, MCP integrations, and RAG systems using Python, FastAPI, LangChain, TypeScript, and React. Use Claude Code and other AI-assisted development tools daily. Collaborate on application optimization, code reviews, root-cause analysis, architecture, documentation, testing, and project planning while delivering scalable, reliable, and secure software.
Summary Generated by Built In

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.

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.

Required Skills
  • 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.

Education & Experience
  • 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.

What We Offer
  • Competitive base salary and performance-based bonus.

  • 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.

Equal Opportunity Employer

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.

Skills Required

  • Fluency with AI-assisted development tools, specifically Claude Code, as a daily engineering practice
  • Hands-on production experience building LLM agent tools, agentic workflows, MCP integrations, or RAG systems
  • Production proficiency in Python 3.11, FastAPI, LangChain, TypeScript, and React
  • Solid knowledge of data structures, algorithms, and object-oriented design
  • Strong teamwork and written and verbal communication skills
  • Ability to manage time and deliver results on schedule
  • Exceptional analytical and problem-solving abilities
  • Strong attention to detail and documentation skills
  • Bachelor's degree in Computer Science or a related field
  • At least 3 years of production software development experience
  • At least 1 year of hands-on experience with LLM, agentic, or AI/ML systems in production or near-production environments

What the Team is Saying

Dan
Andrew
Cynthia
Liz
Alok
Dori
Ahmad
Clearwater Analytics (CWAN)
Souvik Das
Sandeep Sahai

Clearwater Analytics (CWAN) Compensation & Benefits Highlights

  • Retirement Support — Company filings and benefit listings describe a 401(k) with employer matching up to 4% and robust retirement offerings. This points to reliable long‑term savings support within the package.
  • Leave & Time Off Breadth — PTO, paid holidays, and volunteer time off are consistently included, with descriptions noting roughly three weeks of PTO and immediate eligibility in some summaries. These elements suggest time‑off coverage that is solid even if not top‑tier.
  • Flexible Benefits — A three‑week work‑from‑anywhere option, hybrid/WFH flexibility, and volunteer time off are highlighted in recent descriptions. These features offer adaptability that can enhance the overall value for many roles.

Clearwater Analytics (CWAN) Insights

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The Company
HQ: Boise, ID
1,100 Employees
Year Founded: 2004

What We Do

CWAN was founded on a simple belief: investment professionals deserve modern technology that actually works for them. Not legacy systems that slow them down. Not fragmented data that creates confusion. But one comprehensive platform that gives you complete visibility and crystal-clear insights. The result? Investment management that works as seamlessly as your investment strategy. Since our founding in 2004, CWAN has been the trusted technology partner powering the world’s leading institutional investors — from insurance companies, asset managers, and hedge funds to asset owners like corporations, endowments, and pension funds managing over $10 trillion in assets.

Why Work With Us

We continue to grow, fueled by a strong foundation, an ambitious vision, and a commitment to delivering exceptional value to our clients, partners, and team members around the world. What started as a bold idea in Boise, Idaho has rapidly transformed into a global presence. We’ve expanded our footprint significantly—now operating out of 24 offices

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Clearwater Analytics (CWAN) Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQBoise, ID
Bengaluru, Karnataka
Chicago, IL
Dublin, IE
Hong Kong, 23/F, Man Yee Building
London, GB
Mumbai, Maharashtra
New York, NY
Singapore
Sydney
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