About the job
Continua has pioneered an innovative AI agent that seamlessly integrates into group conversations, simplifying planning, coordination, and information retrieval. Backed by industry leaders such as Google and Bessemer Venture Partners, Continua is at the forefront of developing socially-intelligent AI solutions.
In light of our impressive growth trajectory, we are eager to welcome an experienced systems software engineer who will elevate the quality of our AI agent experience and help scale our operations to new heights.
This is a hybrid position based in New York, NY, with in-office work expected 3+ days per week.
Key Responsibilities:
Architect, develop, and optimize backend services and APIs using Python (and preferably Go) to support our AI agent platform.
Collaborate with machine learning engineers to incorporate large language models (LLMs) into production systems effectively.
Lead feature development from concept to deployment: gather requirements, code, test, and iterate.
Enhance system reliability and scalability by improving testing processes, eliminating performance bottlenecks, and refining infrastructure.
Work closely with cross-functional teams, including our CEO, product manager, and designers, to transform product vision into technical solutions.
Engage in on-call rotations and production maintenance to ensure a superior user experience.
Your Profile:
You are a seasoned Systems Software Engineer with a solid understanding of both backend and frontend systems. You possess a balance of technical expertise and product insight, creating reliable, user-centric applications that can scale effectively. You thrive in a fast-paced startup environment, collaborate across disciplines, and take ownership of features from inception to launch.
Your adaptability in ambiguous situations, enthusiasm for emerging AI technologies, and commitment to a hybrid working model in New York City will make you an ideal fit.
7+ years of experience in infrastructure and backend engineering.
Solid understanding of database technologies, such as SQL, Postgres, etc.
Strong product intuition, balancing user needs with technical feasibility.
Comfortable working across the entire technology stack, from frontend to backend and data pipelines.
Familiarity with cloud architecture and deployment, especially on Google Cloud Platform (GCP) or Terraform.
Ability to work autonomously and manage uncertainties in a dynamic environment.
