Senior Applied AI Engineer (Enterprise AI / Python)

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.