Senior Applied AI Engineer, Enterprise AI, Python

🕒 August 7

🇺🇸 United States – Remote

💵 $160k - $195k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

BrightPlan

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

👥 HR Tech

☁️ SaaS

🧘 Wellness

HR Tech • SaaS • Wellness

BrightPlan is an enterprise-focused financial wellness company that provides a mobile-first SaaS platform combining an AI financial coach, certified financial advisors, and employee engagement tools to help employers improve benefits adoption and employee financial wellbeing. The platform serves global employers (stating 9+ million employees across 50+ countries), emphasizes privacy and compliance, offers personalized, benefits-aware guidance, and integrates with HR and retirement plan providers to drive measurable outcomes for employees and employers.

📋 Description

• Design and implement scalable AI services and supporting infrastructure for AI-powered product capabilities • Develop solutions to evaluate and improve LLM output quality • Build frameworks and tooling supporting AI feature development across the engineering team • Develop and maintain systems for model tuning, evaluation, and optimization • Contribute to deployment and operational reliability of AI services in production • Optimize AI services for latency, cost efficiency, and reliability • Partner with the CTO on AI capabilities, model usage, architecture, and system design decisions • Provide technical guidance and establish development patterns and engineering best practices • Contribute to technical architecture discussions for AI systems and platform capabilities • Establish reliable systems supporting AI-powered product features within the first 90 days • Improve performance, consistency, and reliability of AI-generated outputs • Enable rapid experimentation while maintaining production-grade reliability and engineering quality • Help other engineers build AI-powered features more effectively • Demonstrate technical leadership and ownership of AI system design and implementation

🎯 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 • Applicants must include a brief description of one AI-powered feature, service, or system they helped build or support in production • Nice to have: FastAPI or similar frameworks • Nice to have: Model fine-tuning, retrieval-augmented generation (RAG), prompt evaluation, or LLM evaluation methods • Nice to have: Internal AI tooling or infrastructure • Nice to have: Vector databases or AI data pipelines • Nice to have: Fintech or B2B SaaS experience • Must live and work in the United States • Must be eligible for employment by any employer in the U.S. • Must have a dedicated workspace and reliable internet service

🏖️ Benefits

• Competitive compensation • Equity • Annual performance bonus • Equity participation • Comprehensive benefits package • Medical insurance • Dental insurance • Vision insurance • 401(k) with company contribution • Life insurance • Paid time off • Dedicated workspace • Reliable internet service • Remote-first work environment