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Continua AI, Inc. Logo

Systems Software Engineer

Continua AI, Inc.

Salary not specified
Nov 13, 2025
New York, NY, US
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Continua is looking for a Systems Software Engineer to help improve the quality of their AI agent experience and scale to the next level.

Requirements

  • 4+ years of infra / backend engineering experience.
  • Good understanding of database technologies, like SQL, Postgres, etc.
  • Comfortable working across the stack, from frontend to backend systems and data pipelines.
  • Familiarity with cloud architecture and deploying to cloud, particularly Google Cloud Platform (GCP) or Terraform
  • Experience integrating or deploying AI/ML models into user-facing products.
  • Background in real-time or conversational applications.
  • Prior experience in high-growth startups or developing products from 0 to 1.

Responsibilities

  • Design, build, and scale backend services and APIs using Python (and preferably Go) to power our AI agent platform.
  • Partner with ML engineers to integrate large language models (LLMs) into production systems.
  • Own feature development from ideation to launch: gather requirements, implement, test, and iterate.
  • Improve system reliability and scalability by enhancing testing, removing performance bottlenecks, and refining infrastructure.
  • Collaborate closely across disciplines, including with our CEO, product manager, and designer, to translate product goals into technical solutions.
  • Participate in on-call rotations and production maintenance to ensure a great user experience.

Other

  • This is a hybrid position in New York, NY. We are onsite 3+ days per week.
  • You balance technical depth with product intuition, building reliable, user-focused applications that scale.
  • You’re comfortable moving quickly in a startup environment, collaborating across disciplines, and owning features from concept through deployment.
  • You thrive in ambiguity, enjoy working with emerging AI technologies, and are based in New York City for a hybrid schedule.
  • Able to work independently and handle ambiguity in a fast-paced startup environment.