AI/ML Solutions Engineer

Artmac Soft LLC
Prosper, TX, United States
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Software Applications Automated Storage and Retrieval Systems Microsoft Azure Business Software Cloud Computing Databases Continuous Integration DevOps JSON Python (Programming Language)
+16 more
Machine Learning Software Engineering Systems Integration Data Logging Google Cloud Enterprise Software Applications Retrieval-Augmented Generation Large Language Models Generative AI Backend Containerization AI Platforms Kubernetes Restful APIs Docker Microservices

Requirements

  • 8+ years of experience in software engineering, AI/ML engineering, solutions engineering, or related fields.
  • Strong experience with AI/ML application development.
  • Experience working with LLM APIs and Generative AI services.
  • Hands-on experience with RAG architectures.
  • Strong experience with REST APIs, JSON, and enterprise integrations.
  • Experience developing backend services and microservices.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with Python, Docker, and Kubernetes.
  • Strong understanding of CI/CD and DevOps practices.
  • Design and develop production-ready AI/ML applications and services.
  • Build AI-powered applications using Python and modern AI/ML technologies.
  • Integrate LLM and AI services using LLM APIs and REST APIs.
  • Develop RAG-based applications using LLMs, embeddings, retrieval systems, and vector databases.
  • Build backend services and microservices that support AI applications.
  • Integrate AI applications with enterprise systems, databases, CRM, ERP, and other business applications.
  • Develop APIs and integration services using REST, JSON, and related technologies.
  • Deploy AI/ML applications across cloud and enterprise environments.
  • Containerize applications using Docker and deploy them using Kubernetes.
  • Develop monitoring, logging, testing, and troubleshooting processes for production AI systems.

Qualification: Bachelor’s degree or equivalent combination of education and experience.

About the company

Artmac Soft is a technology consulting and service-oriented IT company that provides innovative technology solutions and services to customers.

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