Senior Applied AI Engineer (Enterprise AI / Python)
$160,000 to $195,000
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Posted today
SENIORITY
Lead
SALARY
$160,000 to $195,000
About the role
- 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
- Contribute meaningfully to establishing reliable systems supporting AI-powered product features within your first 90 days
- Improve the performance, consistency, and reliability of AI-generated outputs
- Develop systems and frameworks that enable rapid experimentation while maintaining production-grade reliability and engineering quality
- Help establish development patterns and technical practices that enable other engineers to build AI-powered features more effectively
- Demonstrate strong technical leadership and ownership of AI system design and implementation
- QualificationsWhen applying, please include a brief description of one AI-powered feature, service, or system you helped build or support in production.
- Required 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 systemsExperience integrating LLM APIs, generative AI services, or AI-enabled capabilities into production systemsExperience 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
- 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
- Why Join BrightPlanBuild meaningful technology that helps people improve their financial lives
- Work on practical AI applications deployed in a live fintech product
- Collaborate in a remote-first environment with experienced product and engineering leaders
- Competitive compensation, benefits, and equity
Before you apply
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Your profile is current
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A number in mind
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Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
