About the role
Job Role: Applied AI Engineer
Job Type: Full time/ Permanent
Location : Austin, TX (Client Round will be in person)
Job Description :
Must-Have Requirements
Requirement 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,
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