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Senior Front End Developer - AI Accelerated Engineering

Software Resources, New York, NY, United States


Software Resources has an immediate job opportunity for a Senior Front End Developer - AI Accelerated Engineering with a major corporation in Glendale, CA, onsite 2-3 days per week. Tuesday-Thursday onsite.

Duration : 12 month(s)
Pay Rate:

$80 -$86/hr DOE

Required Education : Bachelor's degree in Computer Science or Engineering, or related technical discipline.

Must haves:
1) Be able to use AI tools to code
2) Strong front end development experience
- A front-end engineer who leverages AI effectively - not someone dependent on a single language or framework
- An engineer who can move fast without breaking production
- Someone who can add value immediately while remaining flexible as the platform evolves
- A developer who sees AI as a force multiplier, not a replacement for engineering judgment

Description :
Senior Front-End Developer - AI-Accelerated Engineering
We are seeking a Senior Front-End Developer who can lead the design and delivery of modern, scalable user experiences while operating effectively across a complex enterprise application landscape. This role is front-end anchored and requires the ability to contribute immediately to existing systems while remaining adaptable as the platform evolves.

The ideal candidate uses AI-assisted development as a core engineering capability - not a novelty. Leveraging tools such as Cursor, GitHub Copilot, and Claude, they can rapidly
understand unfamiliar codebases, safely extend production systems, and contribute across services regardless of underlying language or framework.
We are not looking for a developer locked into one ecosystem. We need someone whose primary strength is front-end engineering, whose defining skill is leveraging AI to be effective everywhere, and who can support back-end systems as needed - using AI to bridge any language or framework gap.

Core Responsibilities:
1. AI-Accelerated Development:
- Use Cursor, GitHub Copilot, Claude, and similar AI-powered approved development tools as the default mode of working - not occasionally, but as the standard engineering workflow every single day.
- Use AI to accelerate code generation, intelligent refactoring, automated test creation, debugging, code review assistance, and documentation generation
- Apply effective prompt engineering by providing clear goals, sufficient context, relevant source material, and defined output expectations - then iterating and validating outputs before adoption
- Critically evaluate all AI-generated code for correctness, security vulnerabilities, hallucination risks, performance implications, and maintainability before it reaches production
- Understand when AI output is trustworthy and when it is not - recognize hallucination patterns, security blind spots, and cases where manual engineering judgment must override AI suggestions
2. Front-End Engineering (Primary Craft):
- Design, build, and maintain high-quality, responsive, and accessible user interfaces using modern front-end frameworks such as React, Angular etc. using AI tools.
- Translate product and business requirements into scalable technical solutions with a strong emphasis on maintainability, usability, performance, and reliability
- Establish and evolve reusable UI patterns, shared components, and front-end architecture standards that improve development velocity and long-term consistency
- Collaborate closely with UX/UI designers to translate design systems, wireframes, and prototypes into polished, production-quality interfaces
- Implement and consume RESTful on the front-end with proper error handling, caching, and optimistic updates.
3. Cross-Stack Contribution (AI-Augmented):
- Support and contribute to existing back-end services and APIs when required - using AI tools to bridge any framework or language knowledge gaps efficiently and responsibly
- Drive end-to-end delivery by partnering across services (API integration, troubleshooting, targeted fixes), while keeping front-end engineering as the primary ownership area.
- Read and safely modify back-end services using AI assistance, even when the underlying technology is not the primary expertise. The expectation is not deep specialization in every back- end technology - it is the demonstrated ability to use AI to become productive quickly in any environment the team operates in

Basic Qualifications:
DevOps and CI/CD
- Build and maintain CI/CD pipelines using GitHub or equivalent platforms
- Containerize applications using Docker and understand orchestration concepts.
- Read and safely modify back-end code using AI assistance when needed; the expectation is adaptability and disciplined validation, not deep specialization in every back-end technology.

1. AI-Accelerated Development - Non-Negotiable:
- Demonstrated, hands-on coding experience using AI coding assistants (Cursor, GitHub Copilot, Claude etc) in professional or substantial project work - not casual experimentation or documentation.
- Effective prompt engineering ability - knows how to set clear goals, provide context, supply relevant source material, define output expectations, and iterate on results
- Clear understanding of AI limitations - hallucination risks, security blind spots, incorrect logic, and when human expertise must take over
- Experience using AI tools to rapidly onboard to unfamiliar codebases and programming
languages
2. Front-End Engineering - Non-Negotiable:
- 6+ years of professional software development experience with strong depth in front-end
application development
- Expert-level proficiency in HTML5, CSS3/SCSS, JavaScript , and TypeScript.
- Deep production experience with at least one major front-end framework: React, Angular etc.
- Strong understanding of front-end architecture, component design, state management,
performance optimization, accessibility, testing strategy, and code maintainability
- Experience building and consuming RESTful APIs and modern authentication patterns from the front end
3. Software Engineering Fundamentals:
- Solid understanding of object-oriented and functional programming principles
- Production experience with relational databases (SQL) - ability to read, write, optimize queries, and understand data modeling
- Proficiency with Git - branching strategies, pull requests, rebasing, and collaborative workflows
- Proven ability to work effectively across unfamiliar or mixed-technology codebases and make meaningful contributions with limited ramp-up time
- Strong written and verbal communication skills, with the ability to explain technical intent, trade-offs, and implementation decisions clearly

Required Education:
Bachelor's in Comp Science or Eng or related

bout Software Resources
Software Resources, founded more than 3 decades ago, is a trusted staffing partner specializing in Technology (IT, Creative, & Marketing), Finance, & Accounting placements. We work with companies nationwide that need skilled professionals and connect them with candidates like you looking for the right opportunity.
We are always looking for professionals at all experience levels and in various specialties to meet our clients' hiring needs. As a member of our team, you will have access to benefits including medical, dental, and vision coverage, a 401(k) with company match, short-term disability, life insurance with AD&D.
If this position fits interests you, we encourage you to apply. You can view all our job openings at

Software Resources Careers.