Senior Full-Stack Engineer (.NET+React), ML Team
About this role
Bridging the gap between traditional software architecture and modern AI systems, Pearl requires a Senior Full-Stack Engineer to address the technical complexities of scaling AI-enabled professional services. The machine learning department builds products centered on personalization, experimentation, and optimization, connecting millions of customers with licensed professionals worldwide.
In this capacity, the engineer will construct backend-heavy full-stack solutions while dedicating the majority of time to backend development in C# and .NET. Responsibilities include building application features for LLMs and AI agents, extending self-optimization capabilities for intake workflows, and collaborating with adjacent teams to ship production-ready code.
The position exists to drive practical improvements in intake experiences and AI product capabilities through specification-driven engineering. Candidates who thrive in this environment are pragmatic problem-solvers with a bias toward action, comfortable owning development across the stack while integrating machine learning workflows into real-world applications.
What you will do
- Build backend-heavy full-stack solutions to support team initiatives and deliver end-to-end product functionality.
- Contribute to frontend development using modern web technologies as required by the product.
- Develop application features and integrations for large language models and AI agents.
- Extend and support self-optimization features linked to the intake bot and related workflows.
- Translate requirements into clear, well-scoped specifications before and during implementation.
- Write maintainable production-quality code and participate in standard testing practices.
- Collaborate with cross-functional partners and adjacent engineering teams during planning and technical discussions.
What you need
- Have at least five years of professional software engineering experience in full-stack roles.
- Demonstrate strong knowledge of C# and .NET for building and maintaining scalable backend services.
- Possess solid front-end experience with HTML5, CSS3, JavaScript, TypeScript, and React.
- Show hands-on experience integrating AI and LLM workflows into real software applications.
- Bring exposure to Python for data analysis, automation, and model development.
- Demonstrate strong SQL skills for reporting, data querying, and transformation.
- Communicate effectively in cross-functional settings with upper-intermediate English proficiency or higher.
Skills and tech stack
Questions candidates ask
What kind of work will I be doing on the team?
You will build backend-heavy full-stack solutions to support machine learning initiatives, with a primary focus on backend development. Responsibilities also include working on LLM and AI agent features, intake bot optimization, and contributing to frontend development as needed.
What technical background is required for this role?
Candidates need at least five years of professional full-stack experience with strong backend skills in C# and .NET. The role also requires solid front-end knowledge, hands-on experience with LLM and AI workflows, Python exposure, and strong SQL capabilities.
How does the engineering team plan and execute projects?
The team practices specification-driven engineering, which involves translating requirements into clear and well-scoped specs before and during implementation. Engineers also write maintainable code, participate in testing, and engage in technical discussions and iterative product planning.
Is AI used during the company's hiring process?
Artificial intelligence technology may be utilized during the hiring process to record, transcribe, analyze, and rank interview responses. Candidates acknowledge and consent to this use by submitting their application and participating in interviews.