AI Engineer (Python)
About The Company:
BrightPlan is a leader in Total Financial Wellness, dedicated to providing comprehensive solutions that address all aspects of employees’ financial health throughout their lives. As a remote-first SaaS company, BrightPlan develops practical, AI-powered tools that aim to improve real financial outcomes for users. The company's core values emphasize accountability, curiosity, thoughtful execution, and continuous learning. BrightPlan's innovative platform empowers HR teams to enhance the employee experience, attract, retain, and engage talent more effectively. With a focus on building next-generation AI-driven financial wellness solutions, BrightPlan is at the forefront of transforming financial wellbeing in the workplace.
About The Role:
BrightPlan is seeking an Applied AI Engineer to join its expanding engineering team. In this role, you will be instrumental in building and enhancing AI-powered features across our platform, with an initial emphasis on improving our AI Coach experience. This position is ideal for an engineer passionate about applying generative AI in a production environment, working closely with product managers and engineers to translate innovative ideas into customer-ready features. The role involves combining Python development, prompt design, and structured data management to deliver impactful user-facing AI functionalities. You will have the opportunity to work on high-impact AI features within a real-world fintech environment, contributing to the development of practical AI solutions that directly benefit users.
Qualifications:
- 3+ years of software engineering experience
- Strong proficiency in Python development
- Proven experience with AI-powered coding tools (preferably Anthropic's Claude Code)
- Experience in building backend services or APIsHands-on experience working with LLM APIs, generative AI services, or AI-enabled application features
- Excellent problem-solving and debugging skills
- Ability to collaborate effectively within cross-functional teams
Nice To Have:
- Experience with FastAPI or similar frameworks
- Knowledge of prompt evaluation or LLM testing methodologies
- Experience integrating AI into production SaaS platforms
- Background in fintech or B2B SaaS environments
Responsibilities:
- Develop and enhance AI-powered product features in collaboration with product and engineering teams
- Write and optimize prompts to improve response quality and feature performance
- Create Python-based services and APIs to support AI workflows
- Manage structured data in PostgreSQL and vector-based data systems to support AI applications
- Implement features within FastAPI-based systems
- Leverage AI-assisted development tools to boost engineering productivity and accelerate experimentation
- Participate in technical discussions regarding feature design and implementation
- Continuously iterate on AI features to improve performance, reliability, and user experience
Benefits:
- Opportunity to build meaningful technology that enhances financial wellbeing
- Work on practical AI applications deployed within a live fintech product
- Remote-first work environment with experienced product and engineering leadership
- Competitive compensation package, including base salary, performance bonuses, and equity participation
- Comprehensive benefits such as medical, dental, and vision coverage 401(k) plan with company contributions
- Paid time off and life insurance
- Ongoing professional development and learning opportunities
Equal Opportunity
BrightPlan is proud to be an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. To be eligible for employment at BrightPlan, candidates must reside and work in the United States and have a reliable internet connection and dedicated workspace. Compensation is determined based on relevant qualifications, experience, and location, in accordance with applicable laws and market standards.