Home › Companies › Hyphen Connect › MLOps & Agentic Platform Engineer (AI Infrastructure)
MLOps & Agentic Platform Engineer (AI Infrastructure)
Hyphen Connect · Oregon, USA · Active · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Hyphen Connect |
| Title | MLOps & Agentic Platform Engineer (AI Infrastructure) |
| Normalized title | - |
| Department / team | Engineering |
| Location | OR, United States |
| Work model | - |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-04-24 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hyphen Connect. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hyphen Connect |
| Source | 8c23f81b-aec0-450e-b33a-ce033b97ca6f |
| ATS provider | Greenhouse |
Description
We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.
Responsibilities:
Manage model registries, continuous training loops, and A/B testing infrastructure.
Deploy agents as scalable microservices on Kubernetes.
Build observability dashboards to track token usage, latency, and agent reasoning paths.
Qualifications:
Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
Experience with MLflow, Weights & Biases, or LangSmith.
Knowledge of building scalable microservice architectures.
Full job record
| Job ID | f2a30b754d8af4c74d0baf044df3e78a6f43c22b |
| Org ID | dc3160c9-fdba-42a9-af23-1bf5a6168ee9 |
| Source ID | 8c23f81b-aec0-450e-b33a-ce033b97ca6f |
| Board ID | 8c23f81b-aec0-450e-b33a-ce033b97ca6f |
| Provider | greenhouse |
| Provider Job Key | 5120108007 |
| Title | MLOps & Agentic Platform Engineer (AI Infrastructure) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Oregon, USA |
| Department | Engineering |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | OR |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://job-boards.greenhouse.io/hyphenconnect/jobs/5120108007 |
| Apply URL | https://job-boards.greenhouse.io/hyphenconnect/jobs/5120108007 |
| First Seen At | 2026-05-29 22:42:08Z |
| Last Seen At | 2026-06-06 07:33:56Z |
| Last Checked At | 2026-06-06 07:33:56Z |
| Last Changed At | 2026-05-29 22:42:08Z |
| Inactive At | — |
| Source Posted At | 2026-04-24 14:31:55Z |
| Source Updated At | 2026-04-24 14:31:55Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=hyphenconnect/date=2026-06-06/2026-06-06T07-33-55-771Z-f9564d516ac0e0c5cc4262a402d228a84dc202fa42babe8802338f1a9f0261b7.json |
Event Fields
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