React Developer – GenAI Discovery & Prototyping

📍 Job Overview

Job Title: React Developer – GenAI Discovery & Prototyping

Company: TEKsystems

Location: Wayzata, Minnesota, USA

Job Type: CONTRACTOR

Category: Software Development / Engineering (with a focus on GenAI and Prototyping)

Date Posted: March 18, 2026

Experience Level: Intermediate Level (typically 2-5 years)

Remote Status: Hybrid

🚀 Role Summary

• Develop cutting-edge front-end user experiences for Generative AI (GenAI) driven prototypes, focusing on rapid iteration and testing of new concepts.

• Integrate UI components with advanced AI endpoints, internal APIs, and Large Language Model (LLM)-based workflows to create functional prototypes.

• Collaborate closely with business Subject Matter Experts (SMEs), back-end engineers, and product teams to validate the feasibility of innovative AI-driven solutions.

• Contribute to a fast-paced, dual-track Agile environment focused on discovery and rapid prototyping cycles, requiring significant autonomy and immediate contribution.

• Provide critical technical feedback to guide the progression of promising GenAI concepts from discovery to product development.

📝 Enhancement Note: While the title is "React Developer," the core responsibilities and required skills clearly indicate a specialized role within software engineering focused on the application of Generative AI. The emphasis on "Discovery & Prototyping" suggests a role that bridges the gap between ideation and practical implementation, requiring not just strong technical skills but also a strategic understanding of AI's potential and business application. The "Intermediate Level" designation suggests candidates should have a solid foundation but also be capable of independent problem-solving and rapid execution.

📈 Primary Responsibilities

• Design, develop, and implement React-based front-end user interfaces for GenAI prototypes, ensuring a seamless and intuitive user experience.

• Establish robust connections between UI components and AI endpoints, including internal APIs, custom Foundry models, and REST APIs, to facilitate real-time data flow and interaction.

• Build and refine agent-based user experiences and prompt-driven workflows, enabling dynamic and responsive interactions with AI models.

• Actively participate in dual-track Agile ceremonies, contributing to both discovery-oriented development and the rapid prototyping of new features and functionalities.

• Engage in close collaboration with business SMEs to thoroughly understand requirements, validate innovative concepts, and assess technical feasibility.

• Drive rapid prototyping cycles with minimal supervision, demonstrating a high degree of self-sufficiency and problem-solving capability.

• Provide clear and actionable technical feedback regarding the potential of GenAI concepts, advising on their readiness and suitability for progression into the delivery backlog.

• Contribute to the evaluation and selection of appropriate technologies and architectural patterns for GenAI prototypes.

• Document key technical decisions, prototype functionalities, and learnings derived from the discovery and prototyping process.

📝 Enhancement Note: The responsibilities highlight a blend of core front-end development with specialized AI integration. The emphasis on "agent-based UX" and "prompt-driven workflows" points to a need for understanding how users interact with AI, not just how to build UIs. The "dual track agile" mention suggests a need for adaptability and comfort with iterative, experimental development cycles.

🎓 Skills & Qualifications

Education:

Experience:

• Proven experience in software engineering with a strong focus on front-end development and rapid prototyping methodologies.

Required Skills:

• High-Level React Expertise: Deep understanding of React.js, including component-based architecture, state management (e.g., Redux, Context API), hooks, and performance optimization techniques.

• Strong Software Engineering Experience: Solid foundation in software development principles, data structures, algorithms, and best practices.

• Strong API Integration Experience: Proficiency in integrating front-end applications with various APIs, including RESTful services and internal APIs.

• AI / Agent Based UX Experience: Familiarity with designing and developing user experiences that leverage AI, artificial agents, and conversational interfaces.

• Rapid Prototyping Ability: Demonstrated capability to quickly build functional prototypes to test concepts and gather feedback.

• UI Components Development: Experience in creating reusable and maintainable UI components.

• LLM-based Workflow Integration: Understanding of how to connect front-end applications to Large Language Models (LLMs) and their associated workflows.

• Agile Methodologies: Experience working within Agile development frameworks, particularly in a discovery-oriented context.

Preferred Skills:

• Experience with AI Endpoints and Generative AI models.

• Familiarity with Foundry models or similar data/model orchestration platforms.

• Experience with prompt engineering and designing prompt-driven user interactions.

• Knowledge of back-end technologies or ability to collaborate effectively with back-end engineers.

• Exposure to cloud platforms (e.g., AWS, Azure, GCP) for prototype deployment.

• Experience with version control systems like Git.

📝 Enhancement Note: The "Intermediate Level" experience suggests that while a deep specialization is not required, candidates should be able to operate independently and contribute immediately. The "AI / Agent Based UX Experience" and "LLM-based Workflow Integration" are critical differentiators for this role, indicating a need to go beyond standard React development.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate React Proficiency: Showcase well-architected React applications, highlighting component reusability, state management strategies, and efficient UI development.

• API Integration Examples: Include projects where you've successfully integrated front-end applications with backend services or external APIs, detailing the integration process and challenges overcome.

• Prototyping Projects: Present examples of rapid prototypes or proof-of-concepts, clearly articulating the problem addressed, the technology stack used, and the outcome of the prototyping effort.

• AI/LLM Interaction Examples (if available): If possible, showcase any projects involving AI, LLMs, agent-based systems, or prompt-driven interfaces, demonstrating your understanding of these emerging technologies.

Process Documentation:

• Workflow Design and Optimization: Be prepared to discuss how you approach designing user workflows, especially for complex AI interactions, and how you optimize these for clarity and efficiency.

• Implementation and Automation: Explain your methods for rapidly implementing features and automating repetitive tasks within the development lifecycle.

• Measurement and Performance Analysis: Discuss how you would measure the success of a prototype and analyze its performance, particularly concerning user adoption and feedback.

📝 Enhancement Note: For a prototyping-focused role, a traditional portfolio might be less about polished, long-term products and more about demonstrating speed, adaptability, and the ability to quickly translate ideas into functional demos. The emphasis should be on showcasing the process of rapid development and iterative improvement.

💵 Compensation & Benefits

Salary Range: $60.00 - $90.00 per hour (USD)

Benefits:

• Medical, Dental, and Vision insurance.

• Critical Illness, Accident, and Hospital coverage.

• 401(k) Retirement Plan with pre-tax and Roth post-tax contribution options.

• Voluntary Life Insurance and Accidental Death & Dismemberment (AD&D) for employee and dependents.

• Short-term and Long-term Disability coverage.

• Health Spending Account (HSA).

• Transportation benefits.

• Employee Assistance Program (EAP).

Working Hours:

• Standard full-time hours, estimated at 40 hours per week.

📝 Enhancement Note: The salary range provided is for a contract position. The benefits listed are typical for contract roles through TEKsystems, which often include a comprehensive package to supplement the contract nature of the employment. The specific eligibility for some benefits may depend on job classification and length of employment, which is common for contract roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Technology Services (TEKsystems is a major player in IT staffing and services). The specific team operates within a technology discovery and prototyping unit, likely serving various clients or internal innovation initiatives.

Company Size: TEKsystems (Allegis Group) is a very large global organization with 80,000+ employees and over 6,000 clients. This specific team would be a small unit within this large entity.

Founded: TEKsystems was founded in 1983. The company has a long history of providing IT talent and services, adapting to evolving technology landscapes.

Team Structure:

• Small, Agile Unit: The GenAI Discovery & Prototyping team is described as small and fast-paced, likely comprising individuals with diverse skill sets (React Developers, back-end engineers, product SMEs, business analysts).

• Cross-Functional Collaboration: Close collaboration with business SMEs, back-end engineers, and potentially product managers is a core aspect of the team's operational model.

• Project-Based Work: The team operates on short (1-month) cycles, suggesting a project-driven structure focused on rapid iteration and experimentation.

Methodology:

• Dual-Track Agile: The team employs a dual-track Agile approach, separating discovery/experimentation from traditional development. This allows for flexibility and focused exploration of new ideas.

• Rapid Prototyping: Core to the team's function is the ability to quickly build and test prototypes to determine the feasibility and potential of new business concepts, particularly those involving GenAI.

• Data-Driven Validation: Prototypes are used to gather feedback and data, which informs decisions on whether to proceed with full product development.

Company Website: https://careers.teksystems.com/us/en

📝 Enhancement Note: TEKsystems' culture as a large IT services provider implies a need for adaptability and a strong client-service orientation, even within an internal-facing prototyping team. The specific team's culture is likely more startup-like due to its rapid prototyping and discovery focus, requiring individuals who thrive in ambiguity and fast-paced environments.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as "Intermediate Level," suggesting a developer with 2-5 years of experience who can work independently on defined tasks and contribute to problem-solving. It's not an entry-level position but doesn't require senior-level architectural or team leadership responsibilities.

Reporting Structure:

• The React Developer will likely report to a team lead or manager within the GenAI Discovery & Prototyping group.

Operations Impact:

• The primary impact of this role is on accelerating innovation and de-risking future technology investments. By rapidly prototyping GenAI applications, the developer helps the business quickly assess the viability of new concepts, saving time and resources that would otherwise be spent on unproven ideas.

Growth Opportunities:

• Specialization in GenAI: Deepen expertise in Generative AI, LLMs, agent-based systems, and front-end integration for these technologies.

• Broader Prototyping Skills: Develop a strong portfolio of diverse prototypes, showcasing adaptability across different business problems and technologies.

• Agile Mastery: Gain significant experience in dual-track Agile and discovery-oriented development, valuable in fast-moving tech environments.

• Cross-Functional Leadership: As experience grows, potential to lead technical aspects of discovery sprints or mentor junior developers in prototyping.

• Transition to Product Development: Successful prototypes may lead to opportunities on full product development teams, leveraging the discovered technology.

📝 Enhancement Note: For a contract role focused on prototyping, growth often comes from gaining exposure to a wide range of innovative projects and technologies, rather than a predefined hierarchical path. The key is building a strong, relevant skill set and a track record of successful, rapid development.

🌐 Work Environment

Office Type: Hybrid position. This implies a mix of remote work and in-office presence. The office environment in Wayzata, MN, is likely a professional setting typical of a large IT services company, designed for collaboration and focused work.

Office Location(s): Wayzata, Minnesota. This is a suburban location west of Minneapolis.

Workspace Context:

• Collaborative Hub: The office space will likely be equipped for team meetings, brainstorming sessions, and collaborative work, supporting the dual-track Agile methodology.

• Technology Access: Expect access to necessary development tools, high-speed internet, and potentially specialized hardware or software required for AI prototyping.

• Team Interaction: The hybrid model will necessitate intentional efforts for team synchronization and communication, ensuring seamless collaboration between remote and in-office team members.

Work Schedule:

• The role is full-time, estimated at 40 hours per week.

• The hybrid nature suggests flexibility in how the 40 hours are structured, balancing remote work with required in-office days for collaboration.

📝 Enhancement Note: The hybrid arrangement for a prototyping team emphasizes the need for strong communication and self-management skills. The office environment is likely to be conducive to both focused individual work and dynamic team collaboration, essential for rapid iteration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications, experience with React and APIs, and understanding of contract roles.

• Technical Interview(s): Expect one or more technical interviews focusing on React development, API integration, and problem-solving. This may include live coding exercises or discussions about past projects.

• Hiring Manager/Team Lead Interview: A discussion to assess cultural fit, understanding of the GenAI/prototyping domain, ability to work independently, and alignment with the team's fast-paced methodology.

• Portfolio Review: A dedicated session where candidates present their portfolio, focusing on relevant projects that demonstrate their skills in React, API integration, and rapid prototyping, especially any AI-related work.

Portfolio Review Tips:

• Highlight Prototypes: Emphasize projects that showcase rapid development and iteration. Explain the problem, your approach, the technologies used, and the outcomes or learnings.

• Demonstrate API Integration: Clearly articulate how you connected front-end components to backend services or AI endpoints. Show code snippets or architectural diagrams if possible.

• Focus on GenAI Relevance: If you have any experience with AI, LLMs, or agent-based systems, make it a central part of your presentation. Explain your role and the impact.

• Be Prepared for Technical Deep Dives: Anticipate questions about your React architecture, state management choices, and API interaction patterns.

• Showcase Problem-Solving: For each project, be ready to discuss challenges you faced and how you overcame them.

Challenge Preparation:

• Coding Challenges: Practice medium-difficulty JavaScript and React coding problems, focusing on efficiency and clean code.

• System Design/Architecture: Be prepared to discuss how you would architect a simple GenAI prototype, considering front-end, API, and AI model integration.

• Scenario-Based Questions: Think about how you would handle situations like unclear requirements, rapidly changing priorities, or technical roadblocks in a prototyping environment.

📝 Enhancement Note: For a prototyping role, the interview process will likely prioritize speed, adaptability, and practical application of skills over deep theoretical knowledge. The portfolio review is critical for demonstrating hands-on ability to quickly build functional solutions.

🛠 Tools & Technology Stack

Primary Tools:

• React.js: The core front-end library for building user interfaces.

• JavaScript/TypeScript: Essential programming languages for front-end development.

• HTML5/CSS3: Standard web technologies for structuring and styling.

API Integration:

• RESTful APIs: Standard for connecting to back-end services and AI endpoints.

• GraphQL (Potentially): May be used for more complex data fetching needs.

• Axios/Fetch API: Libraries for making HTTP requests from the front end.

AI & LLM Interaction:

• AI Endpoints: Understanding how to consume data and functionality from AI models.

• LLM Frameworks/SDKs (e.g., OpenAI API, LangChain.js): For interacting with Large Language Models.

• Foundry Models: Specific mention suggests familiarity with this platform for data and model management.

Prototyping & Development:

• Node.js/npm/Yarn: For managing JavaScript packages and development environments.

• Webpack/Babel: For transpiling and bundling React applications.

• Git: Version control system for code management.

• Agile Project Management Tools (e.g., Jira, Trello): For tracking tasks and sprints.

Analytics & Reporting (for prototypes):

• Basic analytics tools for tracking user interactions within prototypes.

• Logging frameworks for debugging and performance monitoring.

📝 Enhancement Note: The explicit mention of "Foundry models" is a key differentiator. While general API integration and React skills are standard, familiarity with this platform (or similar data/model orchestration tools) would be a significant advantage. The focus is on tools that enable rapid development and integration with AI services.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong drive to explore new ideas, particularly in the GenAI space, and a willingness to experiment with novel approaches.

• Speed & Agility: Prioritizing rapid iteration, quick feedback loops, and the ability to adapt to changing requirements and discoveries.

• Collaboration & Communication: Open and frequent communication is essential, especially in a hybrid environment and with cross-functional teams.

• Problem-Solving & Autonomy: Expectation of independent problem-solving and the ability to take ownership of tasks with minimal supervision.

• Business Acumen: Understanding how technology solutions, especially AI, can deliver business value and solve real-world problems.

Collaboration Style:

• Cross-Functional Integration: Developers are expected to work closely with business SMEs and back-end engineers, bridging technical and business perspectives.

• Iterative Feedback: A culture of continuous feedback, both giving and receiving, is crucial for the rapid prototyping cycle.

• Knowledge Sharing: While working on short cycles, there's an implicit need to share learnings and best practices within the team to accelerate collective understanding.

📝 Enhancement Note: The team culture is likely to be dynamic and somewhat "startup-like" within the larger TEKsystems framework. Candidates who are proactive, enjoy a fast pace, and can communicate effectively across different disciplines will thrive.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapid Pace & Ambiguity: The fast-paced, 1-month cycle for prototypes means that priorities can shift, and requirements may evolve quickly. Dealing with ambiguity and delivering under tight deadlines is key.

• Integrating Emerging Tech: Working with GenAI and LLMs involves integrating rapidly evolving technologies, which can present unforeseen technical hurdles and require continuous learning.

• Balancing Discovery with Delivery: Effectively managing the dual-track Agile process, ensuring that discovery efforts lead to tangible, testable prototypes without getting bogged down in perfectionism.

• Hybrid Collaboration: Maintaining seamless communication and collaboration in a hybrid work environment requires proactive effort and effective use of communication tools.

Learning & Development Opportunities:

• Deep Dive into GenAI: Unparalleled opportunity to work hands-on with cutting-edge Generative AI technologies and LLMs, building practical expertise.

• Prototyping Expertise: Develop a strong portfolio of diverse prototypes, honing skills in rapid development and validation.

• Agile Discovery Methodologies: Gain significant experience in discovery-oriented Agile frameworks, which are highly sought after in tech innovation roles.

• Exposure to Various Business Problems: Work on a variety of concepts from different business areas, broadening understanding of business challenges and technology solutions.

• Networking: Opportunity to work with a large network of IT professionals through TEKsystems.

📝 Enhancement Note: The primary growth comes from practical, hands-on experience with bleeding-edge technology and a unique development methodology. This role is ideal for developers who want to gain direct experience in the GenAI space and build a portfolio of innovative projects.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you built a rapid prototype. What was the goal, your process, and the outcome?" Prepare a concise case study from your portfolio that highlights your ability to build quickly and iterate. Focus on the problem, your technical approach, and the results.

• "How would you approach integrating a new LLM API into a React application? What are the key considerations?" Be ready to discuss API calls, error handling, state management for asynchronous operations, and user experience design for AI interactions.

Company & Culture Questions:

• "Why are you interested in GenAI discovery and prototyping, specifically with TEKsystems?" Align your interest with the role's focus on innovation and rapid development, and express enthusiasm for working with emerging technologies.

• "How do you handle working in a fast-paced, potentially ambiguous environment with short deadlines?" Emphasize your adaptability, self-management skills, and ability to prioritize effectively.

Portfolio Presentation Strategy:

• Focus on Impact: For each project, clearly articulate the business problem it aimed to solve and the value it delivered or tested.

• Technical Depth: Be ready to discuss your architectural choices, specific React patterns used, and API integration strategies.

• GenAI Relevance: If you have AI/LLM or agent-based UX examples, make them prominent. Explain your role and any unique challenges or insights gained.

• Conciseness: Given the fast-paced nature, present your most relevant work efficiently. Aim for clarity and impact over exhaustive detail.

📝 Enhancement Note: The interview process will heavily weigh practical demonstration of skills and cultural fit for a rapid prototyping environment. Be prepared to talk through your projects with technical detail and highlight your ability to adapt and deliver quickly.

📌 Application Steps

To apply for this operations position:

• Submit your application through the TEKsystems careers portal.

• Prepare Your Portfolio: Curate your most relevant projects. For this role, prioritize examples showcasing your React expertise, API integration capabilities, and any experience with rapid prototyping or AI/LLM technologies. Clearly document the problem, your solution, the technologies used, and the outcome or learnings.

• Tailor Your Resume: Ensure your resume highlights keywords from the job description such as "React," "GenAI," "API Integration," "Rapid Prototyping," "Software Engineering," and "Agile." Quantify your achievements where possible.

• Practice Your Pitch: Be ready to articulate your experience and passion for GenAI and prototyping concisely. Practice presenting your portfolio projects, focusing on your technical contributions and problem-solving approach.

• Research TEKsystems: Understand TEKsystems' role as a major IT services provider and their commitment to innovation. Familiarize yourself with the company's values and how they might apply to this dynamic prototyping team.

⚠️ 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.