Bryce McFall
@brycemcfall
Senior AI software engineer specializing in LLM integration, scalable systems, and full-stack development.
What I'm looking for
I am a Senior AI Software Engineer with a decade of experience building production-scale AI systems and full-stack applications at companies including Perplexity AI, Apple, and Travelers Insurance.
I specialize in LLM integration, RAG architectures, prompt engineering, and vector databases, and have contributed to systems serving hundreds of millions of queries monthly while reducing API costs and latency.
I architect cloud-native microservices and full-stack products using TypeScript, Python, React, Node.js, and Kubernetes, delivering measurable business impact such as infrastructure cost savings, performance improvements, and increased user engagement.
I collaborate cross-functionally with product, ML research, design, and business stakeholders, lead technical initiatives, and mentor engineers to ship reliable, scalable features that drive growth and operational efficiency.
Experience
Work history, roles, and key accomplishments
AI Software Engineer
Perplexity AI
Oct 2022 - Present (3 years 1 month)
Built core AI search infrastructure and RAG pipelines integrating multiple LLMs, scaling from 10M to 780M monthly queries and improving answer accuracy by 40% while reducing latency by 60% and cutting API costs 45%.
Modernized internal web applications for 130,000+ employees by migrating to React/Node.js microservices, improving performance 65% and delivering $15M+ in operational efficiency gains.
Software Engineer II
Travelers Insurance
Sep 2015 - Apr 2019 (3 years 7 months)
Led modernization of enterprise claim systems processing $2B+ premiums, halving claim resolution time and producing $5M in operational cost savings while increasing customer satisfaction 35%.
Education
Degrees, certifications, and relevant coursework
University of Southern California
Bachelor of Science, Computer Science
2011 - 2015
Completed a Bachelor of Science in Computer Science with coursework and projects preparing for software engineering and AI-focused roles.
Tech stack
Software and tools used professionally
Google Cloud Platform
GitHub
Kubernetes
Jenkins
GitHub Actions
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Spring Boot
Next.js
Tailwind CSS
Material-UI
Redis
Terraform
Vue.js
Webpack
JavaScript
HTML5
Java
TensorFlow
PyTorch
Kafka
FastAPI
Grafana
Prometheus
New Relic
Datadog
GraphQL
Elasticsearch
Serverless
s3-lambda
SQL
LangChain
Pinecone
OpenAI API
ArgoCD
Vite
Perplexity AI
Scale AI
Availability
Location
Authorized to work in
Job categories
Skills
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