onsite
Forward Deploy AI Engineer - David Joseph & Company
AI Engineer
Build and operate AI‑infrastructure for real‑time monitoring, evaluation, and feedback loops of autonomous agents, using Python, cloud services, and container orchestration to ensure reliability and performance at scale.
About the role
Key Responsibilities
- Design and implement scalable monitoring pipelines that capture agent outputs, detect hallucinations, drift, and decision errors in real time.
- Develop APIs and SDKs in Python to integrate the platform with customer AI workloads.
- Deploy, manage, and optimize containerized services on Kubernetes and Docker, ensuring high availability and low latency.
- Build CI/CD workflows on AWS to automate testing, rollout, and rollback of monitoring components.
- Collaborate with data scientists and product teams to turn usage data into scoring metrics and feedback loops that continuously improve model reliability.
Requirements
- 5+ years of software engineering experience, with strong proficiency in Python.
- Hands‑on experience with Kubernetes, Docker, and cloud platforms (AWS preferred).
- Background in machine‑learning operations or monitoring, including familiarity with metrics, logging, and alerting frameworks.
- Proven ability to build and maintain CI/CD pipelines and automated testing suites.
- Excellent problem‑solving skills and ability to work in a fast‑moving, small team environment.
Skills
pythonkubernetesdockerawscicd