Note: The job is a remote job and is open to candidates in USA. Oxenham Group is representing a well-funded startup focused on building an AI-powered platform that enhances human relationship capital. The Full Stack Engineer will collaborate with technical leadership to design, build, and scale the core platform while managing end-to-end projects and optimizing data infrastructure.

Responsibilities

• Design and build full-stack features across frontend and backend systems
• Own projects end-to-end: scoping, implementation, testing, and deployment
• Build and maintain scalable data pipelines supporting analytics and AI/ML applications
• Manage and optimize our client's data infrastructure, including data lake and warehouse
• Design data workflows that integrate and experiment with LLM and ML models
• Build and integrate AI agents and LLM-powered product features
• Ensure high performance, security, and reliability across systems
• Collaborate with tech leadership to set KPIs for key story points at user and system level
• Contribute to infrastructure decisions related to data governance and scalability

Skills

• Extreme ownership mindset: proactive, accountable, and solutions-oriented
• Full-stack engineering experience across frontend and backend systems
• Startup experience; comfortable building quickly in ambiguous, fast-moving environments
• Hands-on experience building or integrating AI agents, LLM workflows, or AI-enabled products
• Strong product sense with a good eye for UX/UI and user-facing design quality
• Experience designing secure authentication, authorization, and database systems
• Strong proficiency with Python, Next.js, and TypeScript
• Experience working on public-facing platforms or production-grade user applications
• Willingness to work 40+ hours per week and travel approximately 3 times per year for team offsites
• Experience with Neo4j graph databases and/or Google Cloud Platform (GCP)
• Experience integrating CRM, messaging, or email APIs (Gmail, WhatsApp, SMS)
• Familiarity with data pipeline tools such as Airflow, dbt, Kafka, or Spark
• Prior experience at an early-stage startup or as a technical founder or operator

Company Overview