
Senior Fullstack Engineer, AI Product
Posted 20 hours ago

Posted 20 hours ago
This is a fully remote position, open to applicants in Poland.
• Develop and sustain fullstack features for AI-driven tax preparation, planning, and review solutions.
• Create and execute React interfaces, TypeScript APIs, and Python backend services.
• Take ownership of features from the initial problem identification to implementation, release, and iteration.
• Utilize real usage data and customer insights to pinpoint areas for enhancement.
• Make product and technical decisions despite having incomplete information.
• Collaborate with engineering teams, AI specialists, product managers, and domain experts.
• Interact with customer-facing teams and actual users to refine solutions.
• Ensure a clean, typed, and efficient codebase.
• Balance the need for additional refinement with swift deployment and learning.
• Develop software that transforms how accounting firms in the US prepare and review taxes.
• Minimum of 5 years of senior-level commercial experience in building fullstack applications using React and Python.
• Strong product-oriented mindset focused on addressing user challenges and achieving outcomes.
• Demonstrated ability to take full ownership of a topic from vague requirements to a production-ready solution.
• Comfortable making decisions with incomplete information and defining scope.
• Practical engineering mindset that balances quality, speed, and business impact.
• Excellent collaboration and communication skills.
• Familiarity with cloud infrastructure platforms such as Google Cloud and/or Azure.
• Experience in a dynamic startup or scale-up environment is an advantage.
• Experience in taking a product or significant feature from inception to launch is a plus.
• Background in developing software within regulated or complex domains is a bonus.
• Previous involvement with AI/LLM-enabled products is a plus.
• Experience working directly with users or leveraging product metrics and customer feedback is an advantage.
• Genuine product ownership and considerable autonomy.
• Tangible user impact along with access to feedback and usage data.
• Rapid feedback cycles: features are deployed quickly, validated by users, and enhanced in production.
• Comprehensive responsibility across UX, backend logic, technical decisions, and feature direction.
• Clearly outlined autonomy and accountability without micromanagement.
• Emphasis on diversity and psychological safety in the workplace.
• Agile methodologies and DevOps practices.
• High level of team autonomy and responsibility.
• Opportunity to contribute to an AI product with a substantial professional application.
futureproof consulting
Jones Lang LaSalle Americas, Inc.
UserTesting
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