Applied AI Engineer

Austin, TX, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
No Travel Required
On-site
$110,000 - $130,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI/LLM
  • Python
  • Kubernetes
  • Docker

Summary

Location: Austin, TX (Onsite)
Employment Type: Full-Time
Work Authorization: / / EAD
Relocation: Available


Overview

We are looking for a hands-on Applied AI Engineer to build and scale production-grade AI/LLM systems. The ideal candidate has strong backend experience and has deployed real-world AI features at scale.


Key Responsibilities

  • Build scalable backend and distributed systems
  • Develop and deploy production AI/LLM features
  • Design and implement agentic AI systems (tools, skills, integrations)
  • Optimize cloud infrastructure for cost, performance, and scalability
  • Work with Docker and Kubernetes for deployment and orchestration
  • Manage LLM integrations (prompts, rate limits, structured outputs)
  • Evaluate and improve LLM performance and reliability

Required Skills

  • 3+ years in backend/distributed systems (pre-AI experience required)
  • Experience shipping AI/LLM features to production
  • Strong Python skills; working knowledge of Go, TypeScript, or Rust
  • Hands-on with AWS/Google Cloud Platform/Azure
  • Experience with Docker and Kubernetes
  • Understanding of token limits, rate limiting, and LLM constraints
  • Experience evaluating LLM outputs (quality, consistency, regressions)
  • Hands-on engineer who codes, debugs, and deploys independently

Preferred Skills

  • Experience with agentic workflows and orchestration frameworks (LangGraph, CrewAI, etc.)
  • Knowledge of guardrails, fallbacks, and async/streaming systems
  • Experience with cost/latency optimization (caching, batching)
  • Familiarity with ML observability tools (Langfuse, Arize, W&B)
  • Exposure to vector or hybrid search systems
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91172239
  • Position Id: 8934071
  • Posted 3 hours ago
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