Senior Frontend Engineer

The Ladders
United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$120,000.0 - $145,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Applications Architecture Application Integration Architecture Databases Continuous Integration Relational Databases Python (Programming Language) Query Optimization Software Engineering Software Systems Systems Integration
+5 more
WebSocket Large Language Models Multi-Agent Systems Backend Front End Software Development

Job description

This role will help shape the user experience and technical foundation for AI-enabled software solutions in a fast-moving product environment. The position blends frontend engineering with close collaboration across backend, product, and delivery teams to build scalable, reliable interfaces. You will contribute to modern application architecture, performance, and deployment practices while helping establish thoughtful guardrails for AI-assisted development., * Design and scale async REST and WebSocket APIs in Python using advanced coding practices.

  • Implement multi-agent workflows to support work routing among specialized LLM agents.
  • Integrate multiple LLM providers through a provider-agnostic layer to improve metrics and flexibility.
  • Build and maintain RAG pipelines connected to vector storage solutions.
  • Design and evolve databases that support traditional and AI-driven application features.
  • Instrument services to track performance metrics effectively under production load.
  • Own the full delivery lifecycle while establishing coding guardrails for AI integration.

Requirements

  • 5+ years of experience developing production backend systems with Python and async I/O expertise.
  • Hands-on experience designing and scaling REST or async APIs with a focus on clean service architecture.
  • Practical experience integrating LLM APIs such as OpenAI or Gemini into backend systems.
  • Experience with vector databases and Retrieval-Augmented Generation (RAG) architectures.
  • Strong skills in relational database management, including schema design and query optimization.
  • Familiarity with AI-augmented delivery practices throughout the software lifecycle.
  • End-to-end ownership of CI/CD processes from build through deployment.

Benefits & conditions

  • Work-life balance in a culture that respects personal time.
  • A culture of belonging with over 20 affinity groups for employee connection.
  • Comprehensive health benefits including HSA, dental, and vision coverage.
  • Retirement support through a matching 401K program.
  • Generous paid time off alongside additional benefits like Pet Insurance.
  • Opportunities for mentorship and career growth within the organization.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:38 min

Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

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Configuring live browser and WebSocket connection endpoints

Suchitra Swain Suchitra Swain · World Congress 2026 Europe

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

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