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Location: Round Rock, TX (Austin area)

Remote: Yes (preferred) / Open to hybrid

Willing to relocate: Open to discussion

Technologies:

TypeScript, JavaScript, Python, Go, Node.js, React, Next.js, FastAPI, Elixir/Phoenix, GraphQL, REST

LLM / GenAI: OpenAI, Claude, Gemini, LangChain, LangGraph, LangSmith, RAG, AI agents, multimodal pipelines (STT → LLM → TTS), hybrid search, pgvector / Pinecone / FAISS

Systems: Distributed systems, microservices, event-driven architecture, Kafka, real-time systems, WebRTC, WebSockets

Runtimes / Security: V8 isolates, Firecracker microVMs, serverless, HIPAA-compliant systems, RBAC, encryption, audit logging

Cloud / DevOps: AWS, GCP (Vertex AI), Azure, Docker, Kubernetes, Terraform, Lambda, OpenTelemetry, Prometheus

Data: PostgreSQL, Redis, DynamoDB, MongoDB, MySQL

Résumé/CV: https://flowcv.com/resume/ulsaw1m1m16f

Email: [email protected]

About:

Senior Software Engineer with deep experience building AI-driven distributed systems, large-scale data pipelines, real-time runtimes, and high-performance backend platforms. Most recently at MaxHome.AI (Senior Software Engineer) I designed the core architecture and secure execution environment for an AI automation platform — including dual-runtime sandboxes (fast V8 isolates + Firecracker microVMs), LLM orchestration, multimodal voice agents, and retrieval-grounded property-analysis pipelines. Previously at Optum I built HIPAA-compliant LLM tooling, semantic retrieval (pgvector + Vertex AI Vector Search), and operational AI agents used by clinicians. Earlier roles at MarqVision and Google covered high-traffic e-commerce backends, real-time systems, and full-stack product work. I thrive in high-ownership, early-stage or platform roles where backend + AI engineering directly shapes the product. Looking for senior / staff-level backend, platform, or AI systems engineering positions.



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