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 DetailsBackend/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 demosAgentic Systems Has built AI agents, skills, tools, or MCP (Model Context Protocol) integrationsPython Proficient for backend developmentSecondary Language Working knowledge of Go, TypeScript, or RustCloud Infrastructure Deep experience with AWS/GCP/Azure — cost optimization, compute decisions, not just deploymentContainer & Orchestration Hands-on with Docker and Kubernetes — can build, deploy, debug, and scale services themselvesLLM Integration Understands token economics, context limits, rate limiting, structured outputs, API failure modesLLM 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 workPreferred / DifferentiatorsBuilt multi-step agentic workflows with tool use and function callingExperience with agent orchestration frameworks (LangGraph, CrewAI, Claude Agent SDK, Google ADK, OpenAI ADK)Built guardrails, fallbacks, or graceful degradation for AI systemsStreaming inference and async agent orchestrationCost/latency optimization: caching, batching, prompt compressionML observability tools: Langfuse, Arize, Braintrust, W&BRetrieval 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,