Job Summary:
As a Gen AI FDE Intern, you will be on the front lines of the AI revolution. You will work directly with our Clients and Internal Teams to transition Gen AI from "cool demo" to "mission-critical production system." You will be responsible for building, tuning, and deploying LLM-powered applications (Agents, RAG systems, and Copilots) that solve specific business workflows.
Key Responsibilities
- RAG Architecture: Design and implement robust Retrieval-Augmented Generation (RAG) pipelines.
- Prompt Engineering & Tuning: Iterate on sophisticated prompt templates and leverage techniques like Chain-of-Thought (CoT) or ReAct to improve model reliability for specific client use cases.
- Evaluation Frameworks: Build "LLM-as-a-judge" or manual evaluation benchmarks to measure the accuracy, latency, and "hallucination" rates of deployed models.
- Integration & Orchestration: Use internal CWIC frameworks built on top of LangChain to glue together LLMs with customer-specific APIs and data sources.
- Client Education: Help non-technical stakeholders understand the limitations of LLMs (e.g., stochastic nature) while demonstrating their transformative value.
Required Skills & Qualifications
- AI/ML Foundations: Deep understanding of transformer architectures, tokenization, and the difference between fine-tuning and RAG.
- Python Mastery: High proficiency in Python, as it is the lingua franca of the AI ecosystem.
- Data Engineering: Ability to clean and preprocess unstructured data (PDFs, HTML, SQL tables) for high-quality embedding.
- API Design / MCP Servers: Experience building and consuming RESTful APIs to integrate AI features into existing enterprise software.
Bonus Points
- Experience with Guardrails (e.g., NeMo Guardrails) to ensure AI safety and compliance.
- Familiarity with Model Quantization or local LLM deployment (e.g., Ollama, vLLM).
- Active contributions to open-source AI projects or a portfolio of "Agentic" side projects.
Salary Range
$0.00 - $10,000,000.00This 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. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Top Skills
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.
