Summary
✨ AI‑Generated
A senior frontend engineering position focused on building scalable applications, APIs, and distributed systems. The role requires strong frontend expertise, backend development skills, and experience with modern infrastructure technologies.
Highlights
Senior engineering role involving modern frontend development, backend integration, distributed systems, and AI-related technologies.
Description
What You’ll Do
Design and build responsive frontend components using TypeScript and Vue.Develop reliable backend services and APIs using Python.Create catalogs and registries for prompts, agents, skills, and MCP tools.Improve registry APIs that support engineering teams and AI-powered products.Lead features through the complete development lifecycle—from design and architecture to deployment, documentation, user support, and iteration.Contribute to scalable, fault-tolerant, and distributed system designs.Integrate applications with platforms and services such as PostgreSQL, Redis, S3, Kafka, RabbitMQ, AWS, and Databricks.Clearly present technical solutions, progress, and outcomes to engineering, product, and user-facing stakeholders.
Required Qualifications
At least four years of experience building production-ready frontend applications using Vue or TypeScript.Strong backend development experience using Python.Experience working with relational databases and writing SQL.Demonstrated contributions to system design and software architecture.Understanding of scalable, fault-tolerant, and distributed systems.Ability to independently lead features from initial design through production deployment.Strong communication and collaboration skills.Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, a related discipline, or equivalent professional experience.
Preferred Qualifications
Experience developing AI, LLM, prompt engineering, or agentic workflow platforms.Familiarity with PostgreSQL, Redis, and S3.Experience with Kafka, RabbitMQ, or other messaging technologies.Exposure to AWS, Databricks, or enterprise data platforms.Familiarity with NumPy, Pandas, Scikit-learn, NLTK, or Dask.Experience designing APIs, registries, catalogs, or developer platforms.Ability to translate complex technical capabilities into intuitive experiences for non-technical users.
