ProNexus

ProNexus

ProNexus Landing Page

information technology & services
1-10

Description

  • Design, build, and maintain production backend services using Python.
  • Develop APIs that support customer-facing applications and AI workflows.
  • Design scalable relational data models using PostgreSQL.
  • Build integrations with model providers, customer systems, and third-party platforms.
  • Develop systems for asynchronous jobs, event processing, and long-running AI workflows.
  • Deploy and operate services using AWS.
  • Debug production issues across application, data, model, and infrastructure layers.
  • Help shape backend architecture and engineering practices as the company grows.

Requirements

  • Approximately 2–9 years of professional software engineering experience.
  • Strong professional experience with Python.
  • Experience designing and operating production APIs or backend services.
  • Strong understanding of relational databases, SQL, and data modeling.
  • Experience with PostgreSQL or a comparable production database.
  • Familiarity with AWS, GCP, or another major cloud platform.
  • Understanding of application security, authentication, and authorization.
  • Experience debugging and operating systems in production.
  • Ability to independently own technical projects from design through deployment.
  • Comfort making pragmatic engineering decisions in an early-stage environment.
  • Strong communication and cross-functional collaboration skills.
  • Experience building AI, LLM, agent, or machine-learning infrastructure (preferred).
  • Experience integrating OpenAI, Anthropic, or other model providers (preferred).
  • Familiarity with LLM evaluation, retrieval, embeddings, or vector databases (preferred).
  • Experience with Docker, Kubernetes, Terraform, or CI/CD systems (preferred).
  • Experience with Redis, Kafka, queues, or event-driven architectures (preferred).
  • Experience building multi-tenant SaaS products (preferred).
  • Previous experience at an early-stage startup (preferred).
  • Experience with data-intensive or distributed systems (preferred).

Interested in this position?

Apply directly on the company website

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