AI Platform Engineer & Architect

Ethereum Technologies; Concord (CA); On-site; USD 83,000 - 113,000; Full time

Job summary

Ethereum Technologies in Concord, CA, is seeking an AI Platform Engineer & Architect for a 12-month W-2 contract. You will design and implement model-serving architectures for real-time inference, standardize deployment patterns on Kubernetes, and lead API-based inference services.

The role requires expertise in Kubernetes, CI/CD, and IaC, with proficiency in Python/Java/Go, and collaboration with Data Science, MLOps and Infra teams to ensure reliable production operations.

Qualifications

• Experience with real-time inference architectures.
• Proficiency in Kubernetes-based platforms and CI/CD.
• Strong programming skills in Python, Java or Go.

Responsibilities

• Design highly available, low-latency model-serving architectures for real-time inference.
• Develop deployment patterns for scalable AI/ML services on Kubernetes.
• Lead API-based inference service design, integration and lifecycle management.
• Optimize model-serving performance with latency tuning and autoscaling.
• Establish monitoring, SLOs/SLAs, alerting and runbooks for production services.
• Collaborate with Data Science, MLOps and Infra teams to ensure reliable production operations.

Skills

Online inference

Distributed systems

Kubernetes

CI/CD

IaC

Python

Java

Go

Monitoring

Cloud & on-prem

Tools

Kubernetes

Service mesh

CI/CD pipelines

IaC tooling

Job description

Job Title: AI Platform Engineer & Architect
Location: Concord, CA
Duration: 12 Months + Extension
Bill Rate: $71/hour
Job Type: W-2 Contract
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Key Responsibilities

• Design and implement highly available, low-latency model-serving architectures for real-time inference workloads.
• Develop and standardize deployment patterns for scalable AI/ML services across Kubernetes-based platforms.
• Lead API-based inference service design, integration, deployment, and lifecycle management.
• Optimize model-serving performance through latency tuning, caching strategies, autoscaling, and resource management.
• Establish monitoring, observability, SLOs/SLAs, alerting, and operational runbooks for production services.
• Drive load testing, capacity planning, resiliency engineering, and disaster recovery readiness.
• Integrate inference platforms with CI/CD pipelines to enable automated deployments and controlled releases.
• Collaborate with Data Science, Platform Engineering, MLOps, and Infrastructure teams to ensure reliable production model operations.
• Establish operational best practices, security standards, reliability measures, and performance benchmarks for enterprise AI deployments.

Required Technical Skills

• Strong experience with online inference and production model-serving architectures.
• Expertise in real-time APIs and distributed systems design.
• Hands-on experience with Kubernetes, container orchestration, and service mesh technologies.
• Knowledge of autoscaling, capacity management, and workload optimization.
• Experience in performance engineering, load testing, and latency optimization.
• Strong understanding of monitoring, observability, logging, distributed tracing, and SLO management.
• Experience with CI/CD, DevOps, and Infrastructure as Code (IaC).
• Knowledge of reliability engineering, fault tolerance, and resiliency patterns.
• Experience operating cloud-based and on-premises platforms.
• Proficiency in Python, Java, Go, or similar backend programming languages.

Preferred Qualifications

• Experience with MLOps platforms and enterprise AI deployment frameworks.
• Hands-on experience with real-time recommendation, fraud detection, risk assessment, personalization, or predictive analytics platforms.
• Familiarity with GPU-based inference, model optimization, and multi-cloud deployments.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.