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# AI Platform Engineer

- **Company:** Strivector
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, DevOps, Monitoring of Systems, Python (Programming Language), NoSQL, OAuth, OpenShift, Redis, Prometheus, Software Engineering, SQL Databases, Google Cloud, Flask (Web Framework), Large Language Models, Grafana, Generative AI, Fastapi, AI Platforms, Git Flow, Kubernetes, Information Technology, Apache Kafka, Virtual Agents, Restful APIs, Terraform, Jenkins, Microservices
- **Published:** June 25, 2026
- **Apply:** https://www2.jobdiva.com/candidates/myjobs/openjob_outside.jsp?a=npjdnwvevc6ny4ui4fjp8nwmp5eq4y05cdloih057rgwavakvn1ovwa74e9vycue&from=COMP&id=32507253&SearchString=&StatesString=

## About the Role

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., 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.

## Description

As 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.


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