Continua is looking for an engineer to help build and scale their AI agent that makes planning, coordination, and information retrieval effortless in group conversations.
Requirements
- Deeply familiar with the challenges of deploying and optimizing LLMs or RAG systems
- Experienced writing scalable backend code in Python (and ideally Go)
- Proficient in building web applications using React and modern CSS frameworks
- Strong understanding of data storage, SQL, and database optimization (Postgres preferred)
- Familiarity with Google Cloud Platform (GCP) and infrastructure tools (e.g., Terraform)
- Background in NLP or conversational AI
Responsibilities
- Design, fine‑tune, and optimize LLM‑based conversational models to enhance agent performance and personalization
- Build and scale backend systems and APIs (Python, Go) that power AI‑driven features
- Collaborate with ML and product teams to integrate models into production and deliver delightful user experiences
- Develop fast, intuitive React frontends (with Tailwind CSS) that showcase the best of what our AI can do
- Architect data flows and memory systems that enable context retention and personalized conversations
- Make key technical decisions that balance innovation, performance, and product intuition
Other
- This role is based in our New York City office (on‑site 3+ days per week).
- A flexible engineer comfortable working across the stack, from model training to frontend interfaces
- Pragmatic: you can balance quick iteration with craftsmanship in a fast‑moving environment
- Able to work independently, thrive in ambiguity, and bring a sense of ownership to the product
- Prior startup experience and comfort building products from 0→1
