Artificial Intelligence Engineer

AI Backend Engineer (LLMs / Distributed Systems)

Austin, TX | Hybrid | No C2C or Sponsorship

I’m working closely with a fast-moving AI team building production-grade systems around large language models, focused on moving beyond demos into fully deployed, scalable products.

This is a role for engineers who enjoy operating at the intersection of backend systems and applied AI — where performance, reliability, and real-world usage actually matter.

What you’ll be working on

* Designing and scaling backend services powering AI-driven applications (TypeScript / Node / Python)

* Building real-time and event-driven systems that integrate with modern LLMs

* Implementing streaming architectures, structured outputs, and tool/function-calling workflows

* Working closely with product and applied AI teams to take ideas from concept → production

* Shipping end-to-end features including system design, deployment, and reliability

* Improving observability (metrics, logs, tracing) alongside cost and latency optimization

What they’re looking for

* Strong backend engineering fundamentals with a bias toward shipping and iteration

* Experience building and deploying applications powered by modern LLM APIs

* Hands-on work with structured outputs, streaming responses, and model orchestration

* Comfort operating in ambiguous environments — able to self-direct and execute

* Solid understanding of distributed systems, real-time processing, and production reliability

Strong experience signals

* Experience across multiple model providers (e.g. OpenAI, Anthropic, Google, open-source models)

* Familiarity with orchestration frameworks (e.g. LangChain, LangGraph) or similar tooling

* Experience optimizing model usage (latency, cost, evals, prompt workflows)

* Background working with modern backend stacks (TypeScript/Node.js, PostgreSQL, Redis, queueing systems)

* Exposure to cloud environments (GCP preferred, AWS/Azure also relevant)

Working environment

* Early-stage, high-ownership team where engineers shape both product and technical direction

* Strong engineering culture with a focus on building and shipping quickly

* Fully in-person environment to enable tight collaboration and fast iteration

* Downtown Austin location

If you’re already building with modern AI systems and want to work on products where the complexity goes beyond surface-level integrations - this is worth exploring.

Feel free to reach out for more context.