AI Platform Engineer
Strivector
Strivector Corp is a National Recruiting and Staffing agency established in 2012 and headquartered in Austin, Texas. We are a preferred partner for several Fortune 500 companies nationwide. Strivector has been consistently rated a rare 4.6/5 on Google, Indeed and Glassdoor by our candidates, customers, employees and contractors. Elevate your professional journey with us. Strivector's premier client (a well-known market leader in their space) is hiring for the following full-time direct hire position.
POSITION OVERVIEWAs an AI Platform Engineer your roles and responsibilities will include:
• Develop tooling and self-service capabilities for deploying enterprise AI solutions.
• Build reusable Generative AI platform services and frameworks.
• Design and implement Kubernetes/OpenShift-based cloud-native solutions.
• Develop Terraform modules and cloud infrastructure architectures.
• Build and manage enterprise REST APIs and microservices.
• Integrate vector databases, embeddings, and LLM-powered capabilities.
• Implement AI agent frameworks, Agentic Orchestration, and GenAI solutions.
• Establish architecture standards and platform engineering best practices.
• Ensure scalability, observability, reliability, and operational excellence of AI platforms.
• Support Agile delivery processes and production operations. QUALIFICATIONS
Most importantly, you need to be a passionate AI Platform Engineer who enjoys his work and is considered to be one of the best within your organization. The ideal AI Platform Engineer would be someone with deep experience in many (if not all) of the following:
• Python development (Flask/FastAPI).
• Kubernetes and OpenShift administration and deployment.
• AWS, Azure, and/or Google Cloud Platform.
• Infrastructure as Code using Terraform.
• REST API and Microservices architecture.
• SQL, NoSQL, Kafka, Redis, and Data Engineering.
• DevOps, CI/CD, Jenkins, GitOps, and Agile practices.
• Generative AI, LLMs, LangChain, LangGraph, AI Agents, and Agentic Orchestration.
• Vector databases, embeddings, model fine-tuning, and AI application development.
• Monitoring and observability tools including Grafana, Prometheus, Loki, and OpenTelemetry.
• OAuth 2.0, security, scalability, and cloud architecture best practices. We understand that even if you are a seasoned AI Platform Engineer, you may not have all the skills listed here. ADDITIONAL INFORMATION Compensation: Based on Experience. One of the best in the industry.
Minimum Education: Bachelor's or Master's Degree in Computer Science or related field.
Minimum Experience: 10+ years of Software Engineering and Platform Development experience.
Type of Position: Full-time Permanent position with benefits.
Location: New York, NY.
Remote / Hybrid: Onsite
Relocation Accepted: No
Vacancy posted 2 days ago
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