Applied AI Engineer

Brightplan

10d•$125,000 - $155,000•Remote

About The Position

BrightPlan is a leader in Total Financial Wellness, offering 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 real financial outcomes. We are expanding our engineering team to develop 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 research-oriented model development. The Applied AI Engineer will help build and expand AI-powered product features across our platform, with an initial focus on enhancing our AI Coach experience. This role is ideal for an engineer who enjoys the practical application of generative AI in production environments and collaborates closely with product managers and engineers to translate ideas into production-ready features for customers. The role involves combining Python development, prompt design, and structured data work to deliver user-facing AI functionality, offering an opportunity to work on high-impact AI features in a real-world fintech environment.

Requirements

3+ years of software engineering experience
Strong Python development experience
Proven proficiency with AI-powered coding tools (Anthropic's Claude Code preferred)
Experience building backend services or APIs
Experience working with LLM APIs, generative AI services, or AI-enabled capabilities in applications
Strong problem-solving and debugging skills
Ability to collaborate effectively in a cross-functional team
Must live and work in the United States and be eligible for employment by any employer in the U.S.
Must have a dedicated workspace and reliable internet service.

Nice To Haves

Experience with FastAPI or similar frameworks
Familiarity with prompt evaluation or LLM testing approaches
Experience integrating AI into production SaaS platforms
Experience working in fintech or B2B SaaS

Responsibilities

Build and enhance AI-powered product features in collaboration with product and engineering teams
Write and refine prompts to improve response quality and feature performance
Develop Python-based services and APIs supporting AI workflows
Work with structured data in PostgreSQL and vector-based data systems supporting AI applications
Contribute to feature implementation in FastAPI-based systems
Use AI-assisted development tools to accelerate engineering productivity and experimentation
Participate in technical discussions around feature design and implementation