Applied AI Engineer (Python + LLM Applications) - US REMOTE

The Role We are looking for an Applied AI Engineer to help build and expand AI-powered product features within our platform, with an initial focus on enhancements to our AI Coach experience. This role is ideal for an engineer who enjoys practical application of generative AI in production environments, working closely with product managers and engineers to translate ideas into production-ready features used by customers. You will combine Python development, prompt design, and structured data work to deliver user-facing AI functionality. This is an opportunity to work on high-impact AI features in a real-world fintech environment. What You’ll Do Build and enhance AI-powered product features in collaboration with product and engineering teams Write and refine prompts to improve response quality and feature performance Develop Python-based services and APIs supporting AI workflows Work with structured data in PostgreSQL and vector-based data systems supporting AI applications Contribute to feature implementation in FastAPI-based systems Use AI-assisted development tools to accelerate engineering productivity and experimentation Participate in technical discussions around feature design and implementation What Success Looks Like Contribute meaningfully to the delivery of AI-powered product features within your first 60-90 days Improve usability and quality of AI product capabilities Contribute effectively within sprint-based engineering delivery Demonstrate strong technical judgment in balancing speed, quality, reliability, and maintainability Qualifications When applying, please include a brief description of an AI-powered feature or system you helped build or contributed to in production. Required 3+ years of software engineering experience Strong Python development experience Proven proficiency with AI-powered coding tools (Anthropic's Claude Code preferred) Experience building backend services or APIs Experience working with LLM APIs, generative AI services, or AI-enabled capabilities into applications Strong problem-solving and debugging skills Ability to collaborate effectively in a cross-functional team Nice to Have Experience with FastAPI or similar frameworks Familiarity with prompt evaluation or LLM testing approaches Experience integrating AI into production SaaS platforms Experience working in fintech or B2B SaaS