Senior Frontend Developer

PRI Technology

West New York, NJ, United States

28 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.disabledperson.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Relational Databases Distributed Systems Fault Tolerance Python (Programming Language) PostgreSQL Enterprise Messaging Systems NLTK (NLP Analysis) NumPy

+19 more

Software Architecture RabbitMQ Redis Software Deployment SQL Databases TypeScript Enterprise Data Management Large Language Models Prompt Engineering Backend Vue.js Pandas Build Management Scikit Learn Information Technology Dask Apache Kafka Front End Software Development Databricks

Job description

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.

Requirements

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., * 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.

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