xAI Engineer / Grok Platform & Agent Engineer
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- Build Grok applications and the high-performance software foundations current xAI roles expect
- Ground Grok in live and private data, then compose safe multimodal tool-using agents
- Operate xAI-scale systems with inference efficiency, observability, reliability and safe autonomy
Benchmark: xAI / SpaceXAI Grok Product + API engineering, paired with current Grok 4.7, Grok Build and agent-tools platform signals (current Sep 2026). Market refresh: Grok 4.7 and Responses-compatible APIs; Grok Build; web/X/collections search; code, MCP and custom functions; Rust/Python/TypeScript; scalable APIs and distributed systems; high-throughput inference; multimodal/voice agents; Kubernetes; OpenTelemetry; production reliability, safety and cost/latency discipline.
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Build Grok applications and the high-performance software foundations current xAI roles expect
Grok API, Responses + agentic coding workflow
Coverage: Grok 4.7 / Responses API / xAI SDK / OpenAI-Compatible SDK / Structured Outputs / Grok Build / Tool Use
Rust/Python/TypeScript + scalable API foundations
Coverage: Rust / Python / TypeScript / Async I/O / APIs / Databases / Distributed Systems / Horizontal Scaling / Rate Limits
Ground Grok in live and private data, then compose safe multimodal tool-using agents
Live search, enterprise retrieval + context engineering
Coverage: Web Search / X Search / Collections / Files / Semantic Retrieval / RAG / Citations / Context Compaction / Prompt Caching
MCP, function calling + multimodal/voice agent systems
Coverage: Function Calling / Remote MCP / Custom Tools / Speech-to-Speech / Multimodal / Permissions / Human Approval / Agent UX
Operate xAI-scale systems with inference efficiency, observability, reliability and safe autonomy
High-throughput inference + GPU-scale systems
Coverage: Model Serving / Request Routing / Caching / Batching / Throughput-Latency / GPU Networking / Storage / Reliability / Capacity
Kubernetes, telemetry + production reliability
Coverage: Kubernetes / OpenTelemetry / Metrics / Logs / Traces / SLOs / Incident Response / Load Testing / Safety Evals / Rollback
Role-Readiness Proof / Capstone
Build a production Grok service for a real multi-step workflow. Expose a typed Rust or Python API using Grok through the Responses surface; require structured outputs, streaming and robust retry/rate-limit behavior. Combine live web/X search with a private collection or file-retrieval path and at least two custom or MCP tools; add one voice or multimodal interaction and explicit approval on consequential actions. Containerize and deploy, load-test concurrency and partial failure, measure time-to-first-token, p95 latency, throughput and token cost, add OpenTelemetry traces/logs/metrics and SLOs, test prompt-injection, tool-misuse and data-exfiltration cases, then run a failure drill and rollback. Deliver code, architecture, eval set, dashboards and an operator runbook tied to task-success or adoption evidence.
Proof Rubric
- Prove model/context judgment
- dependable structured and streaming APIs
- strong Rust/Python engineering
- correct search/retrieval and citation behavior
- high-quality function/MCP contracts
- safe multimodal and tool permissions
- rate-limit/cache/retry discipline
- quantified throughput, latency and cost
- useful telemetry and failure diagnosis
- resilience under load and partial failure
- security/safety regression coverage
- reproducible recovery and rollback
- and evidence that production feedback changed the design