Full Stack Engineer

Accountabilities:

• • Design, develop, test, and maintain full-stack product features, with a strong emphasis on backend architecture and systems.
  • Build scalable data movement pipelines, workflow automation capabilities, APIs, and data-intensive applications.
  • Develop clean, maintainable TypeScript code across frontend and backend services, including React-based user experiences.
  • Partner with product and engineering teams to translate customer needs and business requirements into effective technical solutions.
  • Collaborate directly with customers when needed to understand complex technical challenges and develop practical solutions.
  • Contribute to product strategy and direction by providing thoughtful technical feedback, architectural recommendations, and implementation ideas.
  • Build and integrate AI-enabled product capabilities while incorporating modern AI tools into the software development lifecycle.
  • Improve platform performance, scalability, reliability, maintainability, and overall developer experience.
  • Contribute to workflow orchestration, ETL, data transformation, automation, and other systems supporting reliable movement of customer data.
  • Take meaningful ownership of projects and technical decisions in a fast-paced environment where engineers are expected to operate beyond simply implementing predefined tickets.

  Requirements:

  • 5–7+ years of professional software engineering experience is preferred, with candidates possessing at least 4 years of relevant experience considered.
  • Strong professional experience building full-stack applications using TypeScript and React.
  • Strong backend engineering experience, including APIs, scalable services, and data-intensive applications.
  • Product-minded approach with a demonstrated ability to understand customer problems and develop solutions rather than simply implement specifications.
  • Experience working in fast-paced startup or high-growth environments with significant individual ownership and accountability.
  • Demonstrated experience incorporating AI tools into engineering workflows and an interest in modern AI-assisted development.
  • Strong communication and collaboration skills, with the ability to work effectively across engineering, product, and customer-facing teams.
  • Experience with ETL, data movement, workflow orchestration, data pipelines, or related infrastructure is highly desirable.
  • Experience with browser automation, web scraping, automation frameworks, or similar technologies is advantageous.
  • Familiarity with AI agents, LLM frameworks, or AI-enabled application development is a strong plus.
  • Familiarity with AWS, PostgreSQL/Postgres, or Temporal is beneficial.
  • Ability to operate with initiative, adapt to changing priorities, and take ownership of ambiguous and technically challenging problems.

  Benefits:

  • Competitive base salary of $190,000–$215,000 per year.
  • Meaningful early-stage equity opportunity.
  • Target total compensation of approximately $250,000–$260,000, including equity.
  • Fully remote position within the United States.
  • Opportunity to work at the intersection of AI infrastructure, data infrastructure, workflow automation, and SaaS.
  • High-impact engineering work directly connected to customer-facing products and real-world technical challenges.
  • Significant ownership and influence over product direction and technical implementation.
  • Opportunity to work with modern AI tooling and develop AI-enabled product capabilities.
  • Collaborative environment with experienced engineers and cross-functional product partners.
  • Exposure to complex data movement, automation, APIs, and scalable infrastructure challenges.