This is a Fully Remote Job
1. About Our Client:
The organization operates in the financial wellness industry, providing a comprehensive global solution that supports employees' financial health throughout different life stages. It addresses challenges faced by HR teams in attracting, retaining, and engaging talent by delivering practical AI-powered financial wellness tools through a remote-first SaaS platform.
2. About the Opportunity:
The
Senior Applied AI Engineer
is responsible for designing, building, and scaling AI systems within a production SaaS platform focused on financial wellness. This role enables the delivery of reliable, high-quality AI features by developing scalable infrastructure and frameworks, directly impacting the evolution of AI capabilities in the product architecture.
3. Responsibilities:
Design and implement scalable AI services and supporting infrastructure
Develop solutions to evaluate and improve large language model (LLM) output quality
Build frameworks and tooling to support AI feature development
Maintain systems for model tuning, evaluation, and optimization
Ensure deployment and operational reliability of AI services in production
Optimize AI services for latency, cost efficiency, and reliability
Collaborate with the CTO on AI architecture, model usage, and system design
Provide technical guidance and establish best practices for AI feature development
Participate in technical architecture discussions related to AI systems
4. Requirements:
5+ years of software engineering experience with strong backend or systems development skills
Proficiency in Python development
Experience designing and building backend services or distributed systems
Experience integrating LLM APIs or generative AI services into production
Experience evaluating or improving AI model performance in production
Strong problem-solving and systems design abilities
Ability to collaborate effectively in a cross-functional team
Nice to have:
Experience with FastAPI or similar frameworks
Experience with model fine-tuning, retrieval-augmented generation, prompt evaluation, or LLM evaluation
Experience building internal tooling or infrastructure for AI applications
Experience with vector databases or AI data pipelines
Experience in fintech or B2B SaaS environments
5. Pay Range and Compensation Package:
Estimated annual base salary range from $160,000 to $195,000, depending on qualifications, experience, and location
Eligible for annual performance bonus
Equity participation
Comprehensive benefits package
6. Benefits & Perks:
Medical insurance
Dental insurance
401(k)
Equal Opportunity Statement:
Equal Opportunity Statement:
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.