Applied AI Engineer - Remote Position

About the Role

We are seeking a highly motivated Applied AI Engineer remote to contribute to our data science and AI investment solutions initiatives. This position is open to recent graduates with a strong software engineering foundation and a genuine interest in building production-grade AI systems. You will work closely with applied AI researchers, data engineers, and equity analysts to design, build, and maintain the backend infrastructure that powers AI-driven investment research tools.

What You'll Do

• Design and manage automated data pipelines and workflow orchestration (e.g., Airflow) to ensure timely, reliable delivery of structured investment data.
• Containerize and deploy applications using Docker and Kubernetes, supporting a robust and scalable AI infrastructure on AWS.
• Build and maintain RESTful backend APIs using FastAPI to serve AI-powered features and data services to internal research teams.
• Integrate and maintain connections to LLM APIs (e.g., OpenAI, Anthropic Claude) and agentic AI frameworks, ensuring reliable and cost-efficient usage.
• Implement CI/CD pipelines and apply infrastructure-as-code practices to improve deployment reliability and engineering velocity.
• Collaborate cross-functionally with researchers and analysts to translate requirements into well-tested, maintainable backend systems.

Requirements

• Bachelor's or Master's degree in Computer Science or a related technical field.
• Strong proficiency in Python with a solid understanding of software engineering best practices, including code maintainability, testing, and version control.
• Familiarity with backend frameworks (FastAPI or similar) and experience building or consuming RESTful APIs.
• Exposure to containerization (Docker) and cloud platforms (AWS preferred); Kubernetes experience is a plus.
• Understanding of CI/CD principles and workflow automation tools (e.g., Airflow, cron).
• Exceptional attention to detail and a methodical approach to debugging and system design.

Nice to Have

• Familiarity with LLM APIs or AI agent architectures is a plus, with hands-on exposure through coursework, research, or personal projects preferred.

What We Offer

• Competitive salary ranging from $125,000 to $150,000.
• Discretionary bonus eligibility as part of our total comprehensive package.
• Comprehensive benefits package including paid time off, medical/dental/vision insurance, retirement, and life insurance.
• Remote work flexibility, allowing you to work from anywhere within the United States.
• Opportunities for professional development and growth within the company.