Senior Full Stack Engineer

Reporting to the Founder/CEO, build a next-gen media engagement platform focusing on contextual understanding, personalized experiences and scalable infrastructure. Drive technical architecture while owning key implementations across user profiling, recommendations, and core platform services. Email resume to View email address on click.appcast.io. Responsibilities Design and implement contextual user profiling systems Build sports interest and behavior graph models Create natural language processing pipelines for sports context Set up personalization engines Smart Recommendations & Content Build learning path recommendation engines Develop event and offer matching systems Design A/B testing frameworks Set up content personalization pipelines Platform Infrastructure (Supporting Systems) Design and implement FastAPI microservices Build secure payment and subscription systems Create data pipelines for behavior analysis Implement tracking and attribution systems Set up multi-tenant architecture Manage AWS cloud infrastructure Technical Stack User Profiling: Real-time interest scoring, Affinity modeling Smart Recommendations: Supporting Infrastructure: AI/ML Services: Vector Databases: AWS: OpenSearch, Neptune Payment Systems: Processing: Stripe, Payment intents Technical Requirements Strong graph database and user modeling experience Background in recommendation systems NLP / Real-time ML inference expertise React/TypeScript frontend development AI/ML Requirements Experience integrating and fine-tuning multiple LLMs (e.g., Claude, GPT) Practical knowledge of vector databases and hybrid search architectures Track record of deploying real-time ML inference systems at scale Experience building and maintaining knowledge graphs Understanding of ML model deployment and monitoring in production Background in content enhancement and NLP pipelines Ability to optimize model performance and costs Experience with ML feature engineering and data pipelines Additional Skills (nice to have) Payment system implementation Event streaming platforms Security best practices ML infrastructure optimization Performance monitoring Impact Join an early-stage startup working with major media partners. Shape core architecture decisions and build systems that make stories more accessible and enjoyable for everyone. Seniority level Mid-Senior level Employment type Full-time Job function Industries: Technology, Information and Media and Consumer Services #J-18808-Ljbffr Stealth Startup