About this Senior Full-Stack Engineer (ML Team) role at Pearl
About Us
Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere.
Our Values
- Data driven: Start with truth, measure what matters.
- Courageous: Bias to action; run toward hard problems.
- Innovative: Seek novel, elegant solutions.
- Lean: Do more with less. Build, ship, learn fast.
- Humble: Strong opinions, lightly held.
About the Role
As a Senior Full-Stack Engineer in the Machine Learning department, you will help build and scale product capabilities focused on AI-enabled experiences, experimentation, and optimization. This is a full-stack role for an engineer who is comfortable owning work across the stack while spending most of their time on backend development.
You will contribute to initiatives related to personalization, intake experiences, and AI-powered product improvements, while partnering closely with adjacent teams to deliver practical, production-ready solutions. This role is a strong fit for someone who enjoys combining traditional software engineering with modern AI workflows and wants to work on systems that evolve through real-world usage and iteration.
What You’ll Do
- Build backend-heavy full-stack solutions that support Javelin team initiatives
- Contribute to frontend development as needed to deliver end-to-end product functionality
- Work on LLM- and AI agent-related application features and integrations
- Help support and extend self-optimization capabilities connected to the intake bot and related workflows
- Collaborate with cross-functional partners and adjacent engineering teams on shared initiatives
- Practice specification-driven engineering, translating requirements into clear, well-scoped specs before and during implementation
- Write maintainable, production-quality code and contribute to standard engineering quality practices, including testing
- Participate in technical discussions, implementation planning, and iterative product improvement
What We’re Looking For
- 5+ years of professional experience in software engineering in a full-stack role
- Strong knowledge of C# and .NET, with the ability to build and maintain scalable backend services and application logic
- Solid knowledge of front-end technologies including HTML5, CSS3, JavaScript, and TypeScript; experience with React is preferred
- Hands-on experience with AI and LLM workflows, including a practical understanding of how to integrate AI-powered and agent-based capabilities into real applications
- Some exposure to Python for model development, data analysis, and automation
- Strong SQL skills for data querying, transformation, and reporting
- Experience writing and maintaining unit and integration tests as part of a high-quality engineering workflow
- Strong problem-solving skills, with the ability to identify practical, minimal, and effective solutions to complex technical challenges
- Upper-intermediate English or stronger for effective collaboration in cross-functional settings
Our Commitment to an Inclusive Workplace
We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.
AI Disclosure & Informed Consent
Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.
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