About this opportunity
Stealth Startup lists this Senior Full Stack Engineer opportunity in austin, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
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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
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Worksite address
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.