AI Software Engineer

Venture Up, LLC
Brisbane, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Brisbane, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Databases
Continuous Integration
Distributed Systems
Document-Oriented Databases
Python
PostgreSQL
Rust
Large Language Models
Backend
Cloudflare
Kafka
Automation Anywhere
Databricks

Job description

AI Software Engineer is required by an AI-native platform helping commercial real estate companies, construction industry and infrastructure projects get planned and completed much more quickly and efficiently. You'll be a backend/infra-focused engineer who thrives on high ownership, sharp technical opinions, and the challenge of designing production-grade systems for high-stakes AI workflows. This is a rare opportunity to join a 4-person engineering team and shape the entire technical foundation of a vertical AI company working with some of the biggest names in institutional real estate., * Build and evolve the core agent runtime - tool orchestration, workflow state, retries, fallbacks, and resumability for long-running agents

  • Design and maintain retrieval and context systems that help agents reason over geospatial, financial, and document data
  • Own observability, monitoring, alerting, and CI/CD pipelines for production AI systems
  • Work with distributed systems, Postgres, columnar DBs, and queue systems (e.g. Kafka) to ensure reliability at scale
  • Contribute to eval infrastructure - replaying traces, catching regressions, and measuring agent quality in production

Tech stack

Python, Go, Rust, PostgreSQL, Kafka, AWS (ECS, Lambda, S3), Cloudflare, Databricks, LangGraph, Distributed Systems, CI/CD, Observability/Monitoring

Requirements

  • 5+ years of experience in backend/infrastructure engineering at early-stage (Seed-Series B) startups with 0-to-1 broad ownership
  • Deep backend/infra experience - distributed systems, databases (Postgres, columnar DBs), observability, and CI/CD
  • Proficient in Python (primary), Go, or Rust; can articulate trade-offs between languages clearly
  • Experience with AWS (Lambda, ECS, etc.), Kafka or similar queue systems, and production-grade backend architecture
  • High agency and ownership mindset - comfortable with broad, ambiguous scope and delivering without heavy process
  • Experience at an AI-native company or building with LLM APIs, tool calling, RAG, or agent orchestration frameworks is a nice to have

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