AI Backend Engineer at Sproxil

Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
3 hours ago

Additional Details

Job ID
150754
Job Views
23

Job Description






Job Description




  • Sproxil is a global brand protection & consumer engagement solutions provider specialized in the provision of cutting edge advanced technology to combat counterfeiting, product theft and adulteration; as well as providing a platform for consumer engagement.We are seeking an experienced and technically skilled AI Backend Engineer to help build and optimize the infrastructure that powers our AI-driven applications



Key Responsibilities




  • Design and implement scalable APIs and microservices for AI model deployment and data ingestion.

  • Collaborate with ML engineers to integrate and serve machine learning models (e.g., via REST).

  • Build and maintain data pipelines to support training and inference workflows.

  • Manage and optimize model storage, versioning, and lifecycle in production.

  • Ensure backend systems are performant, secure, and fault-tolerant.

  • Automate and monitor AI service deployments using containerization and orchestration tools (e.g., Docker, Kubernetes).

  • Implement logging, monitoring, and alerting for AI backend services.

  • Participate in code reviews, architecture design, and performance tuning.



Requirements




  • Experience: 6months - 1 years experience in backend development (NYSC and SIWES preferred)

  • Education: Bachelor's degree in Computer Science or any related fields

  • Proficiency in backend languages like Python, Node.js, Java, or Go.

  • Experience with frameworks such as FastAPI, Flask, Django, or Express.

  • Strong understanding of REST APIs, authentication (OAuth2, JWT), and data serialization formats (JSON).

  • Familiarity with AI model serving tools (e.g., TensorFlow Serving, TorchServe, Triton Inference Server).

  • Proficient in working with databases (SQL and NoSQL)

  • Experience with Git, CI/CD pipelines, and container orchestration (Docker, Kubernetes).



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