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# Senior Applied AI Engineer (Enterprise AI / Python)

- **Company:** TALENTHOP LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000.0 - $195,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software as a Service, Distributed Systems, Python (Programming Language), Systems Development Life Cycle, Software Engineering, Systems Integration, Retrieval-Augmented Generation, Large Language Models, IT Architecture, Backend, Fastapi, AI Platforms, Low Latency, Evaluation of Large Language Models, Data Pipelines
- **Published:** October 9, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pq03023f45

## About the Role

* 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

## Description

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., * 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