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Aegion AI

Backend / Fullstack Engineer

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Description

The company is looking for passionate and highly skilled Software Engineers to build scalable, high-performance backend systems and AI-powered applications. We are seeking engineers with strong problem-solving abilities, a product mindset, and hands-on experience in backend development, distributed systems, or AI-driven platforms.


Responsibilities:

  • Design, develop, and maintain scalable backend services and APIs.
  • Build high-performance, reliable, and secure software solutions.
  • Develop AI-enabled applications and integrate Large Language Models (LLMs) where applicable.
  • Work on distributed systems, microservices, and cloud-native architectures.
  • Collaborate with cross-functional teams including Product, AI/ML, and Frontend Engineering.
  • Write clean, maintainable, and well-tested code while following engineering best practices.
  • Participate in architecture discussions, code reviews, and technical decision-making.


Requirements:

  • Strong experience in Python.
  • Hands-on experience with FastAPI.
  • Experience building or integrating AI/LLM-based applications.
  • Strong understanding of REST APIs, backend architecture, and scalable systems.
  • Strong experience in Python.
  • Hands-on experience with FastAPI.
  • Frontend expertise in React.js or JavaScript or Node.js .
  • Experience working on AI/LLM-powered applications.
  • Strong programming experience in Java or Python or Golang.
  • Hands-on experience designing and building Distributed Systems.
  • Strong understanding of system design, scalability, concurrency, and backend architecture.
  • Strong programming expertise in Java, Python, or Golang.
  • Experience building or integrating AI/Generative AI/LLM solutions.
  • Strong backend engineering fundamentals and scalable API development.


Preferred Skills:

  • Strong knowledge of Data Structures and Algorithms.
  • Experience with Microservices Architecture.
  • Exposure to Cloud Platforms (AWS/GCP/Azure).
  • Experience with Docker and Kubernetes.
  • Familiarity with CI/CD pipelines.
  • Excellent debugging and problem-solving skills.
  • Strong communication and collaboration abilities.

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See also

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