Applied AI Engineer
Brightplan • United States
Posted: June 3, 2026
Job Description
About BrightPlan
BrightPlan is a leader in Total Financial Wellness. We provide a comprehensive global solution that addresses all aspects of employees’ financial health at every stage of life, empowering HR teams to enhance the employee experience and better attract, retain, and engage talent.
We are a remote-first SaaS company building practical AI-powered solutions that improve real financial outcomes for users. Our team values accountability, curiosity, thoughtful execution, and continuous learning.
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 research-oriented model development.
The Role
We are looking for an Applied AI Engineer to 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 works closely with product managers and engineers to translate ideas into production-ready features for customers. You will combine Python development, prompt design, and structured data work to deliver user-facing AI functionality.
This is an opportunity to work on high-impact AI features in a real-world fintech environment.
What You’ll Do
- 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
What Success Looks Like
- Contribute meaningfully to the delivery of AI-powered product features within your first 60-90 days
- Improve usability and quality of AI-generated capabilities
- Contribute effectively within sprint-based engineering delivery
- Demonstrate strong technical judgment in balancing speed, quality, reliability, and maintainability
Qualifications
When applying, please include a brief description of one AI-powered feature, service, or system you helped build or support in production.
Required
- 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
Nice to Have
- 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
Additional Content
About BrightPlan
BrightPlan is a leader in Total Financial Wellness. We provide a comprehensive global solution that addresses all aspects of employees’ financial health at every stage of life, empowering HR teams to enhance the employee experience and better attract, retain, and engage talent.
We are a remote-first SaaS company building practical AI-powered solutions that improve real financial outcomes for users. Our team values accountability, curiosity, thoughtful execution, and continuous learning.
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 research-oriented model development.
The Role
We are looking for an Applied AI Engineer to 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 works closely with product managers and engineers to translate ideas into production-ready features for customers. You will combine Python development, prompt design, and structured data work to deliver user-facing AI functionality.
This is an opportunity to work on high-impact AI features in a real-world fintech environment.
What You’ll Do
- 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
What Success Looks Like
- Contribute meaningfully to the delivery of AI-powered product features within your first 60-90 days
- Improve usability and quality of AI-generated capabilities
- Contribute effectively within sprint-based engineering delivery
- Demonstrate strong technical judgment in balancing speed, quality, reliability, and maintainability
Qualifications
When applying, please include a brief description of one AI-powered feature, service, or system you helped build or support in production.
Required
- 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
Nice to Have
- 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