Staff Software Engineer - AI Engineer

About this role

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Skills you'll use

What you'll do

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking.
• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics).
• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction.
• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning.
• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval.
• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows.
• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging.
• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance.
• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems.
• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines.

Who can apply

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems.
• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines.
• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage.
• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost.
• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity.
• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls.
• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed.
• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices.

About Tekion

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