Senior Systems Software Engineer

Continua • New York, NY

42d • Hybrid

About The Position

Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. Funded by Google and Bessemer Venture Partners, Continua is developing the future of socially-intelligent AI. We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This is a hybrid position in New York, NY. We are onsite 3+ days per week. What you’ll do: 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. Who you are: You are a Systems Software Engineer with a strong grasp of both backend and frontend systems. 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.

Requirements

• 7+ years of infra / backend engineering experience.
• Good understanding of database technologies, like SQL, Postgres, etc.
• Strong intuition for product balancing user needs with technical constraints.
• 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
• Able to work independently and handle ambiguity in a fast-paced startup environment.
• Excited about the opportunity to tackle impossible problems.

Nice To Haves

• 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.

Benefits

• competitive salary and equity
• health benefits
• 401k
• the opportunity to help shape the future of AI agents during this transformative moment in computing history!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees