Senior Applied AI Engineer (Enterprise AI / Python)

Talenthop; United States; Remote; USD 160,000 - 195,000; Full time

Benefits offered by this job

Medical insurance

Equity participation

401(k)

Job summary

Talenthop is hiring a Senior Applied AI Engineer to design, build, and scale AI-powered features inside a production SaaS platform focused on financial wellness. You will develop scalable infrastructure, integrate LLM services, and drive reliability and performance across AI systems.

The role emphasizes collaboration with the CTO and cross-functional teams to deliver cutting-edge AI capabilities while maintaining production readiness and cost efficiency.

Qualifications

• 5+ years of software engineering with backend or systems development.
• 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.

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

Skills

Python development

Backend services

Distributed systems

LLM integration

Model evaluation

Cross-functional collaboration

Problem solving

Tools

FastAPI

Vector databases

LLM APIs

Job description

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
• Medical insurance
• 401(k)

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.