Stelvio Inc. is hiring: Artificial Intelligence Engineer in Austin
Stelvio Inc., Austin, TX, United States
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
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.
#J-18808-Ljbffr
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
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.
#J-18808-Ljbffr