UI Developer with AI/ML - W2 Contract
π Job Overview
Job Title: UI Developer with AI/ML - W2 Contract Company: Axiom Software Solutions Limited Location: Austin, Texas, United States Job Type: Contract Category: Software Development / Engineering (with AI/ML Specialization) Date Posted: 2025-09-30T12:17:12.163 Experience Level: 2-5 Years Remote Status: On-site (Locals Only for Austin, TX)
π Role Summary
- Focus on designing and developing intuitive user interfaces for applications leveraging Artificial Intelligence (AI) and Machine Learning (ML) capabilities.
- Implement frontend solutions using modern web technologies and frameworks to create seamless user experiences.
- Collaborate with cross-functional teams to integrate frontend components with backend AI/ML services and APIs.
- Contribute to the entire software development lifecycle, from conceptualization to deployment, with a strong emphasis on UI best practices.
- Ensure the delivery of high-quality, performant, and visually appealing user interfaces that align with project requirements and business objectives.
π Enhancement Note: While the job title and description focus on UI Development, the explicit mention of AI/ML integration signifies a specialized role. The "locals only" requirement for Austin, TX, and Sunnyvale, CA, indicates a preference for candidates who can work on-site in these specific locations, despite the
location_type
being listed as TELECOMMUTE. This suggests the role may offer some flexibility but requires physical presence in one of the specified hubs.
π Primary Responsibilities
- Design, develop, and maintain responsive and user-friendly web interfaces using HTML, CSS, JavaScript, and modern frameworks like React or Vue.js.
- Integrate frontend applications with backend services, particularly those involving AI/ML models and data processing, via RESTful APIs.
- Translate UI/UX design wireframes and mockups into functional, high-quality code, ensuring a pixel-perfect implementation.
- Collaborate closely with AI/ML engineers, backend developers, and product managers to understand project requirements and deliver effective UI solutions.
- Conduct thorough testing of UI components to ensure functionality, performance, and cross-browser compatibility.
- Troubleshoot and debug UI-related issues, providing timely resolutions.
- Stay updated with emerging trends in UI development, AI/ML, and frontend technologies to propose innovative solutions.
- Participate in code reviews to maintain code quality and share knowledge within the development team.
π Enhancement Note: The core responsibilities are inferred from typical UI Developer roles but are specifically contextualized with the AI/ML integration requirement. The emphasis on "locals only" for specific locations suggests that while it's a contract role, there's a strong preference for on-site presence, which impacts collaboration and team dynamics.
π Skills & Qualifications
Education:
- Bachelorβs degree in Computer Science, Software Engineering, or a closely related technical field.
Experience:
- 2-5 years of professional experience in UI development.
- Proven track record with a strong portfolio showcasing successful UI design and development projects, including examples of complex interactive elements or data visualizations.
Required Skills:
- Frontend Development: Expert proficiency in HTML5, CSS3, and JavaScript (ES6+).
- JavaScript Frameworks: Demonstrable experience with at least one modern JavaScript framework such as React, Vue.js, or Angular.
- API Integration: Solid understanding and practical experience with RESTful APIs for frontend-backend communication.
- AI/ML Familiarity: Basic understanding of Artificial Intelligence and Machine Learning concepts and their application in software development.
- Version Control: Proficiency with Git and collaborative development workflows.
- Problem-Solving: Strong analytical and problem-solving skills with a keen eye for detail.
- Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts clearly.
- Teamwork: Proven ability to collaborate effectively within a team environment.
Preferred Skills:
- Experience with UI testing frameworks (e.g., Jest, Cypress, Selenium).
- Familiarity with UI/UX design principles and tools (e.g., Figma, Sketch, Adobe XD).
- Experience with state management libraries (e.g., Redux, Zustand for React).
- Knowledge of build tools and bundlers (e.g., Webpack, Vite).
- Exposure to cloud platforms (AWS, Azure, GCP) and their UI-related services.
- Experience working in an Agile/Scrum development environment.
π Enhancement Note: The AI/ML familiarity is listed as a core requirement but detailed experience in AI/ML development is not expected, aligning with a UI Developer role that integrates with AI/ML outputs rather than builds the models themselves. The experience level is inferred from the AI's "2-5 years" assessment, which is a reasonable range for a contract role requiring specialized skills.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
- A comprehensive portfolio showcasing a range of UI development projects, with an emphasis on modern web applications.
- Demonstrate proficiency in responsive design and cross-browser compatibility across different devices and platforms.
- Include examples of interactive components, data visualizations, or dashboards that highlight your ability to present complex information clearly.
- Showcase projects where you integrated frontend applications with backend APIs, detailing the communication flow.
- Provide case studies or detailed descriptions of your role, challenges faced, and solutions implemented in key projects.
Process Documentation:
- Ability to document UI development processes, including component architecture, styling guidelines, and integration strategies.
- Experience contributing to or adhering to established frontend development workflows and best practices.
- Demonstrate understanding of how UI development fits into the broader software development lifecycle, including collaboration with backend and AI/ML teams.
π Enhancement Note: Portfolio requirements are tailored to a UI Developer role, emphasizing visual output, responsiveness, and API integration. The connection to AI/ML is through the application of UI skills to AI/ML-driven projects, not necessarily the creation of AI/ML models themselves.
π΅ Compensation & Benefits
Salary Range:
- As this is a W2 contract role in Austin, Texas, a competitive hourly rate is expected. Based on industry standards for UI Developers with AI/ML familiarity and 2-5 years of experience in the Austin, TX market, the estimated range would be $50 - $70 per hour. This estimate accounts for the specialized AI/ML aspect and the contract nature of the role.
Benefits:
- As a W2 contract employee, you are typically eligible for benefits provided by the staffing agency or employer, which may include:
- Health, Dental, and Vision Insurance.
- Paid Time Off (PTO) or Vacation Days.
- 401(k) retirement plan options.
- Potential for paid holidays.
- Professional development opportunities or training reimbursement.
Working Hours:
- Standard full-time work schedule, approximately 40 hours per week.
- The specific daily schedule may vary but typically aligns with business hours (e.g., 9 AM - 5 PM CT).
π Enhancement Note: Salary is estimated based on the location (Austin, TX), job type (W2 Contract), experience level (2-5 years), and the specialized nature of UI development with AI/ML familiarity. Benefits are typical for W2 contract positions, which differ from direct hire roles.
π― Team & Company Context
π’ Company Culture
Industry: Information Technology and Services / Software Development. Axiom Software Solutions Limited operates within the tech sector, likely providing software development, integration, and consulting services. Company Size: The LinkedIn data indicates a company size of 51-200 employees, suggesting a medium-sized organization. This implies a potentially agile environment with opportunities for direct impact and close collaboration, but also structured processes. Founded: Founded in 2010, Axiom Software Solutions Limited has over a decade of experience in the IT services industry, indicating stability and a solid understanding of market needs.
Team Structure:
- The UI Developer will likely be part of a project-based team, potentially including other frontend developers, backend engineers, AI/ML specialists, project managers, and UI/UX designers.
- Reporting structure will likely be to a lead developer, engineering manager, or project lead.
- Cross-functional collaboration is essential, requiring close interaction with AI/ML engineers to understand data outputs and integrate them into user-facing features.
Methodology:
- Expect a focus on Agile development methodologies (e.g., Scrum or Kanban) for iterative development and rapid feedback loops.
- Data-driven decision-making is expected, with emphasis on using analytics to inform UI design and improvements.
- Workflow optimization will be key, ensuring efficient handoffs between design, development, and integration phases.
Company Website: https://www.axiomsoftwaresolutions.com/
π Enhancement Note: Company culture and team structure are inferred from the provided company size, founding date, and industry. The "locals only" requirement for specific locations suggests a hybrid or in-office work model for this contract role, influencing the collaborative environment.
π Career & Growth Analysis
Operations Career Level: This role is positioned as a mid-level individual contributor (2-5 years experience). The focus is on executing specific UI development tasks with an understanding of AI/ML integration, rather than strategic operations planning or management.
Reporting Structure: The UI Developer will report to a senior technical lead or a project manager. They will likely work within a project team composed of diverse technical roles, collaborating closely with AI/ML engineers and backend developers.
Operations Impact: While not a direct "operations" role in the traditional sense (like Revenue Operations or Sales Operations), this UI Developer's impact is crucial for the adoption and usability of AI/ML-driven products. Effective UI design can significantly influence user engagement, data interpretation, and the overall success of AI/ML initiatives by making complex technologies accessible and understandable to end-users.
Growth Opportunities:
- Skill Specialization: Deepen expertise in specific frontend frameworks (e.g., advanced React patterns, state management) and gain more exposure to AI/ML integration techniques.
- Project Leadership: For successful contractors, there may be opportunities to lead UI development efforts on specific project modules or mentor junior developers.
- Technical Proficiency: Enhance skills in performance optimization, accessibility standards, and modern web architecture.
- Cross-Functional Exposure: Gain a better understanding of AI/ML workflows and data science principles through close collaboration.
π Enhancement Note: The growth analysis is framed within the context of a UI Developer role, focusing on technical skill enhancement and project contributions, rather than traditional operations career ladders. The "operations impact" section reinterprets the role's influence through the lens of making AI/ML outputs actionable for end-users.
π Work Environment
Office Type: The "locals only" requirement for Austin, TX, and Sunnyvale, CA, strongly suggests an on-site or hybrid work environment for this contract role, rather than fully remote. The specific setup could be traditional office space.
Office Location(s):
- Austin, Texas, United States
- Sunnyvale, California, United States
Workspace Context:
- Expect a collaborative office environment where team members can interact directly for brainstorming, problem-solving, and knowledge sharing.
- Access to standard office amenities and development tools will be provided.
- Opportunities for direct interaction with AI/ML engineers and backend developers are high, fostering a dynamic and integrated development culture.
Work Schedule:
- A standard 40-hour work week is expected, typically during regular business hours (e.g., 9 AM - 5 PM CT for Austin).
- Flexibility may be offered, but the "locals only" implies a need for physical presence during core working hours for team synchronization and on-site collaboration.
π Enhancement Note: The work environment details are derived from the "locals only" requirement, inferring an on-site or hybrid model in the specified locations. This is a crucial detail for candidates evaluating the role's practical setup.
π Application & Portfolio Review Process
Interview Process:
- Initial Screening: A brief call with a recruiter to assess basic qualifications, experience, and interest in the role and contract terms.
- Technical Interview(s): One or more interviews focusing on frontend development skills, including:
- Deep dives into HTML, CSS, JavaScript, and specific framework knowledge (e.g., React/Vue.js).
- Questions about API integration, asynchronous programming, and state management.
- Problem-solving scenarios and potentially a live coding exercise.
- Discussion of AI/ML concepts and how you've integrated them or would approach integrating them from a UI perspective.
- Portfolio Review: A dedicated session where you present your portfolio, discussing key projects, your role, technical challenges, and solutions. Be prepared to explain your design choices and implementation details.
- Hiring Manager/Team Lead Interview: A discussion about your experience, work style, cultural fit, and understanding of the project's goals.
- Final Offer: Based on the successful completion of all interview stages.
Portfolio Review Tips:
- Curate Strategically: Select 2-4 projects that best showcase your UI development skills, particularly those involving complex interfaces, data visualization, or API integration. If possible, highlight any projects with AI/ML components, even if your role was purely frontend.
- Tell a Story: For each project, clearly articulate the problem, your approach, the technologies used, the challenges encountered, and the outcomes achieved. Quantify results where possible (e.g., "improved user engagement by X%", "reduced load times by Y%").
- Highlight AI/ML Integration: If you have examples of how your UI work supported AI/ML features (e.g., dashboards for model performance, interactive data exploration), emphasize this. If not, be prepared to discuss how you would approach integrating AI/ML outputs into a UI.
- Technical Depth: Be ready to discuss your code, architectural decisions, and problem-solving strategies in detail.
Challenge Preparation:
- Coding Challenges: Practice common frontend coding problems, focusing on algorithm implementation, data structures, and DOM manipulation. Be comfortable with JavaScript and your chosen framework.
- System Design (UI Focused): Prepare to discuss how you would design a UI for a specific feature, considering responsiveness, scalability, and integration with backend services.
- AI/ML Contextualization: Think about common ways AI/ML outputs are presented to users (e.g., predictions, recommendations, insights, anomaly detection) and how you would design intuitive interfaces for these.
π Enhancement Note: Interview and portfolio advice are tailored to a UI Developer role with AI/ML exposure, focusing on practical skills, presentation, and the ability to connect frontend work with more complex backend technologies.
π Tools & Technology Stack
Primary Tools:
- Frontend Frameworks: React, Vue.js (proficient in at least one).
- Core Web Technologies: HTML5, CSS3, JavaScript (ES6+).
- Version Control: Git (GitHub, GitLab, Bitbucket).
- Package Managers: npm, Yarn.
- Build Tools: Webpack, Vite, Babel.
Analytics & Reporting:
- Familiarity with integrating frontend analytics tools (e.g., Google Analytics, Mixpanel) for user behavior tracking.
- Experience with building dashboards or reporting interfaces that might consume data from AI/ML models.
CRM & Automation:
- Not directly applicable to this UI Developer role, but awareness of how frontend integrates with backend systems (which may include CRM or automation platforms) is a plus.
AI/ML Integration Specifics:
- APIs: RESTful APIs are essential for connecting frontend to backend AI/ML services.
- Data Formats: Understanding of JSON and potentially XML for API data exchange.
π Enhancement Note: The technology stack is standard for a mid-level UI Developer, with specific emphasis on frameworks and API integration. The AI/ML aspect is addressed by noting the need for API interaction and potential for dashboarding AI outputs.
π₯ Team Culture & Values
Operations Values:
- User-Centricity: A strong commitment to creating exceptional user experiences that are intuitive, efficient, and visually appealing.
- Collaboration: Valuing teamwork and open communication, working effectively with designers, backend engineers, and AI/ML specialists.
- Quality & Craftsmanship: Dedication to writing clean, maintainable, and performant code, with a high standard for UI implementation.
- Innovation: Embracing new technologies and approaches to solve problems and enhance user interfaces, especially in the context of evolving AI/ML capabilities.
- Problem-Solving: A proactive and analytical approach to identifying and resolving technical challenges.
Collaboration Style:
- Expect a highly collaborative environment where cross-functional teams work closely together.
- Regular stand-ups, team meetings, and ad-hoc discussions to align on project goals and address issues.
- Openness to feedback and constructive criticism to drive continuous improvement in both the product and team processes.
π Enhancement Note: Team culture and values are inferred from typical tech company environments and the specific demands of a UI development role involving AI/ML integration. The emphasis is on user focus, technical quality, and collaborative problem-solving.
β‘ Challenges & Growth Opportunities
Challenges:
- Bridging the Gap: Effectively translating complex AI/ML outputs and functionalities into user-friendly and understandable interfaces.
- Rapidly Evolving Tech: Staying current with the fast-paced evolution of frontend technologies, frameworks, and AI/ML advancements.
- Cross-Functional Dependency: Managing dependencies on backend and AI/ML teams for API availability and data structures, ensuring seamless integration.
- Performance Optimization: Ensuring that complex UI elements, especially those involving real-time data from AI/ML, remain performant and responsive.
Learning & Development Opportunities:
- Specialized Frontend Skills: Opportunities to master advanced patterns in React/Vue.js, explore new libraries, and delve into performance optimization techniques.
- AI/ML Exposure: Gain a deeper practical understanding of how AI/ML models are deployed and how their outputs can be effectively visualized and interacted with by users.
- Cross-Disciplinary Learning: Learn about backend architecture and data science principles through close collaboration.
- Contracting Experience: Develop skills in adapting quickly to new project environments and teams, a valuable asset for future contract roles.
π Enhancement Note: Challenges and growth opportunities are framed around the specific demands of a UI Developer integrating with AI/ML, highlighting skill development in both frontend and contextual AI/ML understanding.
π‘ Interview Preparation
Strategy Questions:
- UI/UX Design & Implementation: "Describe a challenging UI you've built. What were the requirements, what technologies did you use, and how did you ensure a good user experience?" Be ready to walk through your portfolio projects.
- JavaScript & Frameworks: "Explain the concept of state management in React/Vue.js and how you've applied it. Discuss asynchronous operations and how you handle them with APIs."
- AI/ML Integration: "Imagine you need to display real-time predictions from an ML model to users. How would you design the UI for this, and what technical considerations would you have for fetching and displaying the data?"
- Problem-Solving: "You're encountering a performance issue with a complex data visualization on a webpage. What steps would you take to diagnose and resolve it?"
Company & Culture Questions:
- "What interests you about this specific UI Developer role with AI/ML integration?"
- "How do you approach collaboration with non-UI team members, such as AI/ML engineers or backend developers?"
- "What are your expectations for this contract role, and how do you see it fitting into your career development?"
Portfolio Presentation Strategy:
- Conciseness is Key: Aim for 3-5 minutes per project, focusing on the most impactful aspects.
- Visuals First: Use screenshots, live demos (if possible), or well-designed slides to showcase your work.
- Focus on Impact: Quantify your contributions and the outcomes of your projects whenever possible.
- Technical Justification: Be ready to explain why you made certain technical decisions, especially regarding framework choice, API usage, and state management.
- AI/ML Connection: Clearly articulate your role in any AI/ML-related projects, even if it was solely frontend integration. If no direct AI/ML projects exist in your portfolio, be prepared to discuss how you would approach such integration.
π Enhancement Note: Interview preparation advice is specific to a UI Developer role, emphasizing portfolio presentation, technical depth in frontend development, and the ability to discuss AI/ML integration conceptually.
π Application Steps
To apply for this operations position:
- Submit your application through the provided link on Workable.
- Tailor your Resume: Highlight your experience with HTML, CSS, JavaScript, React/Vue.js, and API integrations. Explicitly mention any exposure to AI/ML concepts or related projects. Use keywords from the job description.
- Prepare Your Portfolio: Ensure your portfolio is up-to-date, easily accessible (e.g., via a link), and showcases projects relevant to modern web UI development and API integration. Be ready to discuss your contributions and technical decisions for each project.
- Research Axiom Software Solutions: Understand their services, company size, and potential client base to better tailor your responses during interviews.
- Practice Your Pitch: Prepare a concise summary of your experience and why you are a good fit for this specific UI Developer role, including your ability to work with AI/ML integrations.
β οΈ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Candidates must have a bachelor's degree in a relevant field and proven experience as a UI Developer. Proficiency in modern web technologies and familiarity with AI/ML concepts are essential.