Senior Full Stack Engineer

Stealth Startup; Austin (TX); On-site; USD 80,000 - 140,000; Full time

Job summary

Join a dynamic early-stage startup that is revolutionizing media engagement through cutting-edge technology. As a key player in this innovative team, you will be responsible for building a next-gen platform that enhances user experiences with contextual understanding and personalized content. This role offers the chance to shape core architectural decisions and work with major media partners, making stories more accessible and enjoyable for everyone. If you are passionate about technology and eager to make a significant impact in the media landscape, this opportunity is perfect for you.

Qualifications

• Experience in building user profiling systems and recommendation engines.
• Strong background in NLP and real-time ML inference systems.

Responsibilities

• Design and implement user profiling and personalization systems.
• Create and manage microservices and secure payment systems.

Skills

Graph Database Experience

Recommendation Systems Background

Natural Language Processing (NLP)

Real-time Machine Learning Inference

React Development

TypeScript Development

ML Feature Engineering

Data Pipeline Management

Tools

AWS OpenSearch

AWS Neptune

Stripe Payment Processing

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.

Email resume to [e-mail].

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