Artificial Intelligence Engineer

Job Role: Applied AI EngineerJob Type: Full time/ PermanentLocation : Austin, TX (Client Round will be in person) Job Description :Must-Have RequirementsRequirement Details • Backend/Systems Experience • 3+ years building production backend or distributed systems (pre-AI experience required) Production AI Systems • Has shipped AI/LLM features serving real users at scale — not just prototypes or demos Agentic Systems • Has built AI agents, skills, tools, or MCP (Model Context Protocol) integrations Python • Proficient for backend development Secondary Language • Working knowledge of Go, TypeScript, or Rust Cloud Infrastructure • Deep experience with AWS/GCP/Azure — cost optimization, compute decisions, not just deployment Container & Orchestration • Hands-on with Docker and Kubernetes — can build, deploy, debug, and scale services themselves LLM Integration • Understands token economics, context limits, rate limiting, structured outputs, API failure modes LLM Evaluation • Understands how to evaluate LLM outputs and the inherent challenges (non-determinism, quality measurement, regression detection) Hands-On Engineer • Not just an architect — writes code, debugs production issues, deploys their own work Preferred / Differentiators • Built multi-step agentic workflows with tool use and function calling • Experience with agent orchestration frameworks (LangGraph, CrewAI, Claude Agent SDK, Google ADK, OpenAI ADK) • Built guardrails, fallbacks, or graceful degradation for AI systems • Streaming inference and async agent orchestration • Cost/latency optimization: caching, batching, prompt compression • ML observability tools: Langfuse, Arize, Braintrust, W&B • Retrieval systems (vector search, hybrid search) — as a tool, not the focus "Centraprise is an equal opportunity employer. Applicants must be authorized to work in the U.S. U.S. citizens and Green Card holders are strongly encouraged to apply." Thanks & Regards,