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Tekion brand recognition plus senior, specialized ML/platform role draws moderate applicant competition.
ML platform and agentic-systems expertise is transferable but requires significant specialized experience.
Explicit 8+ years and mandatory MLOps/LLM/platform expertise create strict candidate filters.
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Own and operate an LLM control plane and gateway supporting multi-tenant workloads with SLAs, focusing on routing, cost, and safety.
Develop unified APIs/SDKs with observability for AI-powered agentic systems and classical ML model pipelines.
Define and implement standards for agent orchestration, evaluation frameworks, safety guardrails, and model governance enabling rapid, safe AI feature deployment.
8+ years of experience building large-scale data/ML or platform systems with strong software engineering fundamentals.
Proficient in Python plus one language among Java, Scala, or Go; experienced in microservices and API design.
Experience with MLOps at scale including pipelines (Airflow/Kubeflow), model tracking/registry (MLflow), CI/CD for models, and feature computation (Spark/Flink/Kafka).
Cloud and container experience including AWS (preferred), Docker, Kubernetes; with focus on performance, reliability, and cost engineering in SaaS environments.
Experienced in building/operating LLM gateways/control planes including provider adapters, routing policies, caching, quota/rate-limiting, and cost/token accounting.
Skilled in agentic systems with tool usage, orchestration frameworks, human-in-the-loop safety, and online evaluation/telemetry.
Strong background in graph and retrieval systems using knowledge graphs, GraphQL, vector search, and hybrid retrieval methods.