Senior Python Backend Engineer

Why AIAEC?

You’ll be at the forefront of the "AI in AEC" revolution. We are a small, agile team where your architectural decisions directly impact how the built world is designed and constructed. If you enjoy solving "real-world" problems where code meets concrete, this is your spot.

As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC and our suite of AI-driven civil engineering tools. You won't just be writing APIs; you will be engineering the backbone that integrates complex engineering datasets with cutting-edge LLMs. You will bridge the gap between high-level AI research and production-grade software, ensuring our infrastructure is scalable, observable, and resilient.

• API Architecture:
  Design, develop, and maintain high-performance, asynchronous backend services using Python and FastAPI.
• AI Integration:
  Collaborate with ML engineers to deploy and scale AI models, specifically focusing on RAG (Retrieval-Augmented Generation) workflows.
• Infrastructure & Dev Ops:
  Own the lifecycle of your services—from containerization with Docker to orchestration and deployment within Azure.
• Observability:
  Implement robust monitoring and distributed tracing using Open Telemetry to ensure high availability and deep system insights.
• Database Integration:
  Review and optimize queries in PostgreSQL to handle complex spatial and relational data.
• Technical Leadership:
  Mentor junior developers, conduct rigorous code reviews, and drive engineering best practices (CI/CD, TDD, and Documentation).

Tech Stack:
Python (FastAPI), Docker, Azure (preferred), Open Telemetry, PostgreSQL

• Python Expertise: 5+ years of professional experience with Python, with a deep understanding of asyncio and performance profiling.
• Frameworks:
  Mastery of FastAPI (including Pydantic, Dependency Injection, and Middleware).
• Containerization:
  Solid experience with Docker.
• Cloud & Dev Ops:
  Solid experience managing cloud infrastructure. While our stack is Azure-centric, strong experience with AWS or GCP is highly transferable and welcomed.
• Observability:
  Practical experience with Open Telemetry, Prometheus, or similar tools for tracking system health and performance.
• Modern Tooling:
  Familiarity with Git-based workflows, CI/CD pipelines (Azure Dev Ops or Git Hub Actions), and automated testing suites.

• Experience with OpenAI API, Lang Chain, or Llama Index.
• Background or interest in Civil Engineering, BIM (Building Information Modeling), or CAD software integration.
• Experience with Vector Databases (e.g., Pinecone, Weaviate, or pgvector).