Senior Applied AI Engineer

Brightplan

5h•$160,000 - $195,000•Remote

About The Position

BrightPlan is a leader in Total Financial Wellness, providing a comprehensive global solution that addresses all aspects of employees’ financial health. As a remote-first SaaS company, we build practical AI-powered solutions to improve financial outcomes. We are expanding our engineering team to build the next generation of AI-powered financial wellness tools. This role focuses on building and shipping practical AI capabilities within a production SaaS platform rather than on research-oriented model development. The Senior Applied AI Engineer will help design, build, and scale the systems that power AI across the BrightPlan platform, playing an important part in shaping the evolution of AI systems within BrightPlan’s product architecture. This role focuses on developing reliable, scalable infrastructure and frameworks for LLM-powered applications, enabling the broader engineering team to deliver reliable, high-quality AI features. You will work closely with the CTO to help shape technical decisions around AI architecture, model usage, and system evolution. This role is ideal for an engineer who enjoys owning complex technical problems and building the systems that make production AI reliable and scalable, offering significant technical impact in a real-world fintech environment.

Requirements

5+ years of software engineering experience, including strong backend or systems development experience
Strong Python development experience
Experience designing and building backend services or distributed systems
Experience integrating LLM APIs, generative AI services, or AI-enabled capabilities into production systems
Experience evaluating or improving AI model performance in production environments
Strong problem-solving and systems design skills
Ability to collaborate effectively in a cross-functional team
When applying, please include a brief description of one AI-powered feature, service, or system you helped build or support in production.

Nice To Haves

Experience with FastAPI or similar frameworks
Experience with model fine-tuning, retrieval-augmented generation (RAG), prompt evaluation, or LLM evaluation methods
Experience building internal tooling or infrastructure supporting AI applications
Experience working with vector databases or AI data pipelines
Experience working in fintech or B2B SaaS environments

Responsibilities

Design and implement scalable AI services and supporting infrastructure that enable AI-powered product capabilities across the platform
Develop solutions for evaluating and improving LLM output quality
Build frameworks and tooling that support AI feature development across the engineering team
Develop and maintain systems that support model tuning, evaluation, and optimization
Contribute directly to deployment and operational reliability of AI services in production environments
Optimize AI services for latency, cost efficiency, and reliability
Partner with the CTO to evaluate emerging AI capabilities and recommend technical approaches for model usage, architecture, and system design
Provide technical guidance to engineers building AI-powered features and help establish effective development patterns and engineering best practices
Contribute to technical architecture discussions related to AI systems and platform capabilities