Search

Senior Frontend Developer

PublishedPublished: 6/14/2022
Technology

Job Description

What You’ll Do

\n

    \n
  • Design and build responsive frontend components using TypeScript and Vue.
  • \n

  • Develop reliable backend services and APIs using Python.
  • \n

  • Create catalogs and registries for prompts, agents, skills, and MCP tools.
  • \n

  • Improve registry APIs that support engineering teams and AI-powered products.
  • \n

  • Lead features through the complete development lifecycle—from design and architecture to deployment, documentation, user support, and iteration.
  • \n

  • Contribute to scalable, fault-tolerant, and distributed system designs.
  • \n

  • Integrate applications with platforms and services such as PostgreSQL, Redis, S3, Kafka, RabbitMQ, AWS, and Databricks.
  • \n

  • Clearly present technical solutions, progress, and outcomes to engineering, product, and user-facing stakeholders.
  • \n

\n


\n


\n

Required Qualifications

\n

    \n
  • At least four years of experience building production-ready frontend applications using Vue or TypeScript.
  • \n

  • Strong backend development experience using Python.
  • \n

  • Experience working with relational databases and writing SQL.
  • \n

  • Demonstrated contributions to system design and software architecture.
  • \n

  • Understanding of scalable, fault-tolerant, and distributed systems.
  • \n

  • Ability to independently lead features from initial design through production deployment.
  • \n

  • Strong communication and collaboration skills.
  • \n

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, a related discipline, or equivalent professional experience.
  • \n

\n


\n


\n

Preferred Qualifications

\n

    \n
  • Experience developing AI, LLM, prompt engineering, or agentic workflow platforms.
  • \n

  • Familiarity with PostgreSQL, Redis, and S3.
  • \n

  • Experience with Kafka, RabbitMQ, or other messaging technologies.
  • \n

  • Exposure to AWS, Databricks, or enterprise data platforms.
  • \n

  • Familiarity with NumPy, Pandas, Scikit-learn, NLTK, or Dask.
  • \n

  • Experience designing APIs, registries, catalogs, or developer platforms.
  • \n

  • Ability to translate complex technical capabilities into intuitive experiences for non-technical users.
  • \n

\n


\n


Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...