Site Reliability Engineer III

Artech LLC

  • Jersey City, NJ
  • 30+ days ago
  • Remote
  • $75–$80 Per Hour

Highlights

Hands-on DevOps experience with enterprise development tools such as Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible). Expertise in application development in one or more areas: MongoDB, Redis, Angular/React Frameworks, Containerization, Building API based application leveraging FAST API services, JWT Integration, API Gateway.

Numbers & Facts

LocationJersey City, NJ (
Remote
)
Salary$75–$80 Per Hour

Description

Location:

Remote or On-site

Salary Range:

Competitive based on experience

Introduction

Join a pioneering team at *** driving innovation in Artificial Intelligence. We are building the next generation of Generative AI platforms to support new AI projects across Global Markets. This is a unique opportunity to build a secure, scalable, and high-performance system that will power AI solutions across the company.

Required Skills & Qualifications

  • 3 years OOP in Python programming experience with expert level development skills
  • Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem
  • Hands-on experience building frameworks using MLOps, Fine-Tuning techniques, Inference Frameworks
  • Expertise in application development in one or more areas: MongoDB, Redis, Angular/React Frameworks, Containerization, Building API based application leveraging FAST API services, JWT Integration, API Gateway
  • Prior work experience at client or in client's Industry
  • Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications

  • Hands-on DevOps experience with enterprise development tools such as Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible)
  • Experience building deploying Gen AI inferencing platform with open-source toolsets, building inferencing servicing capabilities (AI Gateway, Policy store, Observability) for RAG/ MCP use cases
  • Hands-on experience on driving and maintaining a culture of quality, innovation, and experimentation

Day-to-Day Responsibilities

  • Design, build, and manage reusable tools for Generative AI and Retrieval-Augmented Generation (RAG)
  • Ensure software meets all functional, non-functional, and compliance requirements and is easy to maintain, integrate, and test from the start
  • Research on new tools and capabilities for better UI and UX for advanced analytics platform, quick prototype and demonstrate the features and capabilities, and participate on various user forums

For immediate consideration please click APPLY to begin the screening process with Alex.

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