Senior AI & Data Engineer
About The Position
Gerber Kawasaki is seeking an experienced Senior AI & Data Engineer to advance its portfolio of more than 20 AI-powered financial applications into a secure, scalable, and reliable technology platform. The role strengthens application infrastructure, integrates live financial data, and develops solutions for advisors and clients. This is a hands-on engineering role combining applied AI, software development, and data engineering. The engineer will build on existing technology, shape the firm's AI infrastructure, and help develop AI-powered tools across financial planning, tax analysis, retirement modeling, and portfolio analytics.
Requirements
- At least 5 years of professional software engineering experience, including hands-on experience deploying production applications.
- Strong proficiency in Python, SQL, TypeScript/JavaScript, and React.
- Experience developing and deploying applications using LLM APIs such as Claude, OpenAI, or similar technologies.
- Experience designing and maintaining production data pipelines, data models, and system integrations.
- Working knowledge of cloud infrastructure, CI/CD, automated testing, and secure application development.
- Experience implementing data-quality checks and validating application outputs.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently, manage competing priorities, and collaborate with technical and nontechnical stakeholders.
Nice To Haves
- Experience with Databricks, Apache Spark, or similar data platforms.
- Familiarity with Orion, Salesforce, Agentforce, or financial data APIs.
- Experience with MCP, AI agent frameworks, retrieval systems, and LLM evaluations.
- Background in fintech, wealth management, financial planning, or tax software.
- Knowledge of portfolio analytics, equity compensation, tax modeling, or Monte Carlo simulations.
Responsibilities
- Transform existing AI prototypes into secure, scalable, production-ready applications using Python, TypeScript, React, and modern AI technologies.
- Design and maintain reliable data pipelines connecting Orion, Salesforce, Databricks, market-data providers, and other financial systems.
- Develop and integrate shared calculation engines for tax modeling, retirement projections, Monte Carlo simulations, portfolio analytics, and equity compensation.
- Build and deploy AI-powered workflows using Claude, OpenAI, APIs, and related frameworks to improve operational efficiency and advisor capabilities.
- Implement secure authentication, role-based access, audit logging, automated testing, and CI/CD processes.
- Establish validation checks, monitoring systems, and documentation to support accurate, reliable, maintainable applications.
- Partner with leadership, advisors, and technology teams to improve existing tools, develop new solutions, and identify opportunities for automation.
- Bring existing AI applications into a centralized, secure, and maintainable development environment.
- Build reusable financial calculation libraries and reliable data integrations.
- Deploy secure applications that support advisors and financial planning workflows.
- Establish scalable engineering practices, automated testing, and monitoring.
- Help shape the next generation of AI-powered tools across the firm.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
