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Senior Backend AI Engineer

EfficientVision

Role overview

Qualifications

  • 5+ years of backend software development experience, ideally in Python, Go, or Java
  • 2+ years of experience deploying and scaling machine learning models in production
  • Solid understanding of RESTful APIs, gRPC, message queues, and microservice architectures
  • Strong knowledge of Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)

Responsibilities

  • Design and implement robust, scalable, and secure backend services for AI-powered products
  • Work closely with data scientists and ML engineers to integrate models into production systems
  • Build and optimize APIs, microservices, and data pipelines for real-time and batch processing
  • Monitor, debug, and optimize backend systems for performance, scalability, and reliability

About the company

EfficientVision logo

EfficientVision

Effvision is a US based company focused on delivering business solutions and applications. We execute on our vision of efficiency while leveraging the best technology possible to help business move forward. We care about businesses and their growth path. We see ourselves as a business partner rather than just another vendor on your list. Your business success is equally celebrated within our organization.

Company details

Company size51 - 200

Links

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Job description

This is a remote position.

  • Design and implement robust, scalable, and secure backend services for AI-powered products
  • Work closely with data scientists and ML engineers to integrate models into production systems
  • Build and optimize APIs, microservices, and data pipelines for real-time and batch processing
  • Ensure low-latency inference, efficient model deployment, and resource management
  • Maintain and improve CI/CD pipelines, containerization (Docker/Kubernetes), and cloud infrastructure
  • Monitor, debug, and optimize backend systems for performance, scalability, and reliability
  • Collaborate with cross-functional teams to define system architecture and technical standards
  • Stay current with AI infrastructure trends, tools, and best practices


Requirements

  • 5+ years of backend software development experience, ideally in Python, Go, or Java
  • 2+ years of experience deploying and scaling machine learning models in production
  • Solid understanding of RESTful APIs, gRPC, message queues, and microservice architectures
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch, ONNX) and serving tools (e.g., TorchServe, Triton, FastAPI)
  • Strong knowledge of Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)
  • Familiarity with data pipelines, distributed systems, and model versioning (MLflow or similar)
  • Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, Redis, MongoDB)


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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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