Senior Applied Scientist – AI/ML
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Job Description
Senior Applied Scientist developing and deploying AI systems for estate planning technology platform. Collaborating with various teams to innovate and enhance product offerings.
Responsibilities:
- Design, build, and deploy production-grade systems leveraging Large Language Models (LLMs) from providers like OpenAI, Google (Vertex AI), and Anthropic.
- Develop and scale end-to-end applications for complex document understanding, focusing on textual, financial, and tabular data. This includes building sophisticated, high-precision RAG (Retrieval-Augmented Generation) systems that are battle-tested for production traffic.
- Implement robust guardrails, validation layers, and monitoring to preemptively address model limitations, such as hallucinations, both in offline evaluation and online production environments.
- Engineer and deploy complex, multi-step AI agents, with a focus on creating agentic workflows that are scalable, maintainable, and secure, especially when handling highly sensitive client data.
- Own projects from conception to deployment, making key architectural decisions and ensuring the systems you build meet stringent requirements for latency, precision, and recall.
- Build scalable ETL (Extract, Transform, Load) data pipelines to process and prepare complex datasets for AI model consumption.
- Collaborate closely with product managers, software engineers, and other scientists to build tools, define metrics, and continuously improve the end-to-end quality of our AI systems.
- Align your technical work with business outcomes, effectively communicating the impact and performance of the systems you build to stakeholders.
Requirements:
- A degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).
- Proven experience building and shipping software in a production environment. You are a builder at heart and have a portfolio of projects (personal or professional) that have seen real user traffic.
- Strong software engineering fundamentals, including data structures, algorithms, system design, and writing clean, maintainable code.
- Hands-on experience building, deploying, and maintaining production-level agent systems using frameworks like Agent Development Kit (ADK) or LangGraph.
- Proficiency in Python and a strong aptitude for working in a polyglot environment that may include TypeScript, C#, etc.
- Experience developing applications that consume and integrate APIs from major AI providers (e.g., Google Vertex AI, Azure OpenAI).
Benefits:
- Competitive salary.
- Hybrid work arrangement if located in the Phoenix or New York area; otherwise, fully remote. We also meet together in person several times a year.
- Excellent medical, dental, and vision insurance options, with low-cost premium structures that demonstrate our commitment to offering great value to our employees.
- 100% company-paid basic life insurance, short-term and long-term disability insurance.
- 100% paid parental leave upon eligibility.
- Company equity managed through Carta.
- 401k with match and 100% vesting upon hire.
- Flexible PTO in an environment where taking time off to relax or recharge is supported and encouraged.
- Take time off for holidays—and yes, your birthday counts too. Celebrate, relax, and recharge without thinking twice.
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