Senior Prototyping Engineer

📍 Job Overview

Job Title: Senior Prototyping Engineer

Company: Seekr

Location: Austin, Texas, United States; Reston, Virginia, United States; Remote

Job Type: Full-Time

Category: Engineering / Prototyping / AI

Date Posted: April 10, 2026

Experience Level: Senior (5+ years)

Remote Status: Hybrid/Remote Eligible

🚀 Role Summary

• Drive rapid experimentation and de-risk the product roadmap by transforming abstract product concepts into functional, interactive prototypes.

• Leverage a modern tech stack including React, Next.js, Python, and FastAPI to build high-fidelity prototypes that bridge the gap between user experience design and technical implementation.

• Collaborate with cross-functional teams to define and iterate on product direction, incorporating feedback from technical leads and non-technical stakeholders.

• Utilize AI and LLM technologies to enhance prototyping workflows and explore innovative solutions for the explainable and trustworthy AI platform.

📝 Enhancement Note: This role is positioned as a critical "bridge" function, emphasizing the need for an engineer who can quickly translate ideas into tangible, interactive experiences. The focus on "de-risking the roadmap" and "fail fast" indicates a dynamic, iterative development environment where speed and adaptability are paramount. The integration of AI/LLM skills suggests a forward-thinking approach to prototyping, pushing the boundaries of traditional front-end development.

📈 Primary Responsibilities

• Develop high-fidelity, interactive prototypes using JavaScript/TypeScript, React, Next.js, CSS, and HTML, ensuring a seamless user experience.

• Implement lightweight, functional back-end services and APIs using Python and FastAPI to support prototype functionality and data integration.

• Design intuitive user flows, layouts, and interactive elements, making functional design decisions to bring concepts to life quickly.

• Integrate prototypes with mocked or live data sources via JSON APIs, demonstrating proof of concept and technical feasibility.

• Effectively utilize AI technologies, including LLMs and AI coding assistants (e.g., Claude Code, Cursor), to accelerate the prototyping lifecycle and explore innovative AI-driven features.

• Present functional prototypes to diverse audiences, including technical teams and non-technical stakeholders, clearly articulating the "proof of concept" and its implications.

• Embrace an agile mindset, comfortable with iterative development, "throwaway code," and rapid pivots based on feedback and evolving project requirements.

• Collaborate closely with product managers, designers, and engineers to iterate on prototypes and validate product hypotheses.

📝 Enhancement Note: The responsibilities highlight a blend of front-end and back-end prototyping skills, with a strong emphasis on rapid iteration and AI integration. The expectation to present prototypes to non-technical stakeholders underscores the importance of clear communication and the ability to translate technical capabilities into business value.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 5 years of professional experience in software development, with a focus on front-end technologies and prototyping.

Required Skills:

• Expertise in JavaScript/TypeScript, CSS, and HTML.

• Deep proficiency with React, including modern hooks and frameworks like Next.js, for creating high-fidelity interactive experiences.

• Strong command of Python and experience developing APIs with FastAPI for rapid back-end prototyping.

• Working knowledge of how AI and Large Language Models (LLMs) function.

• Proficiency in utilizing AI technologies and tools (e.g., LLMs, agents) to enhance development workflows.

• Demonstrated functional design skills, with the ability to create intuitive user flows and web application layouts.

• Experience integrating front-end prototypes with JSON APIs and data sources.

• Agile mindset: Ability to work with iterative development, adapt quickly to feedback, and manage "throwaway code" effectively.

• Excellent communication skills for presenting technical concepts and prototypes to both technical and non-technical audiences.

Preferred Skills:

• Experience with prototyping tools such as Figma.

• Familiarity with cloud environments and edge computing principles.

• Understanding of explainable AI (XAI) concepts and principles.

📝 Enhancement Note: The qualifications emphasize a strong foundation in modern front-end and back-end development, combined with a forward-thinking aptitude for AI and rapid prototyping methodologies. The explicit mention of AI coding assistants suggests a desire for candidates who are already leveraging these tools to optimize their workflow.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of high-fidelity interactive prototypes built with React/Next.js, showcasing complex UI/UX implementations.

• Examples of functional prototypes that include lightweight back-end components developed with Python/FastAPI, illustrating API integration and data handling.

• Case studies or project examples where AI/LLM technologies were integrated into the prototyping process to enhance functionality or accelerate development.

• Projects that highlight functional design skills, including intuitive user flows and effective layout design for web applications.

Process Documentation:

• Ability to articulate the development process for prototypes, including ideation, design, implementation, and iteration stages.

• Documentation or explanation of how prototypes were used to de-risk product roadmaps or validate key hypotheses.

• Clear explanations of how AI coding assistants and LLMs were leveraged to streamline workflow and improve efficiency in prototype development.

📝 Enhancement Note: A strong portfolio is crucial for this role, as it will serve as the primary evidence of a candidate's ability to execute rapid prototyping. The emphasis should be on demonstrating practical application of the required skills, particularly in building functional prototypes that incorporate modern web technologies and AI.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Meaningful Mission & Impact: Contribute to solving complex AI challenges that matter.

• Equity Ownership: Receive Restricted Stock Units (RSUs) for direct participation in Seekr's growth.

• Generous Time Off: Unlimited Paid Time Off (PTO) coupled with 14 paid company holidays for work-life balance.

• Flexible Work Environment: Hybrid options in Reston, VA, and Austin, TX, or fully remote, with flexible working hours.

• Competitive Total Rewards: A comprehensive compensation structure that may include base salary, bonuses, or commissions, depending on the specific role's function.

• 401(k) with Company Match: Retirement savings plan with employer matching contributions.

• Comprehensive Health & Wellness: Medical, dental, vision, and life insurance coverage effective from day one for employees and their families.

• Paid Parental Leave: Support for new parents welcoming a child through birth, adoption, or foster placement.

Working Hours:

• Standard full-time workweek, typically 40 hours. Flexible working hours are available, allowing for adaptation to project needs and personal schedules within the hybrid/remote framework.

📝 Enhancement Note: The salary range is an estimate based on industry benchmarks for senior-level engineering roles in comparable tech hubs (Austin, TX; Reston, VA) and for remote positions with similar experience requirements. Benefits are detailed as provided by the company, highlighting Seekr's commitment to employee well-being and long-term success.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Enterprise Software, Explainable AI (XAI), Trustworthy AI, Mission-Critical Decision Systems.

Company Size: Seekr is a growing company, likely employing between 50-250 individuals based on its positioning as a leader in a specialized AI field and its focus on enterprise and government clients. This size suggests a dynamic environment with opportunities for significant impact, balanced with established processes.

Founded: The founding date is not explicitly stated, but the company's focus on advanced AI platforms like SeekrFlow™ and its clientele in defense, finance, and telecom indicate it's a relatively mature startup or a well-funded scale-up, likely founded within the last 5-10 years.

Team Structure:

• The Prototyping Engineer will likely be part of the Product Development or Engineering team, working closely with Product Managers, UX/UI Designers, and other Software Engineers.

• The team operates in a high-trust environment, emphasizing agility and rapid iteration.

Methodology:

• Data-Driven Decisions: Emphasis on using data to inform product direction and prototype validation.

• Agile Development: Embrace of iterative processes, rapid feedback loops, and adaptability.

• Outcome-Oriented: Focus on customer success and delivering tangible results through AI solutions.

• Transparency & Trust: Core values embedded in the AI lifecycle and product development.

Company Website: https://www.seekr.com/

📝 Enhancement Note: Seekr operates in a highly specialized and critical sector of AI. The company culture appears to value innovation, trust, and a strong sense of responsibility, reflecting the nature of its work in mission-critical systems. The team structure likely fosters collaboration and empowers individuals to make significant contributions.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Engineer role, indicating a position of significant technical expertise and responsibility. It requires the ability to work independently, mentor junior engineers, and influence technical direction within prototyping and product development. The role is critical in the early stages of product development, directly impacting the company's innovation pipeline.

Reporting Structure: The Senior Prototyping Engineer will likely report to an Engineering Manager, Head of Product, or potentially a Director of Engineering. The role involves close collaboration with product management and design leadership.

Operations Impact: This role directly impacts the company's ability to innovate and bring new AI solutions to market efficiently. By de-risking the product roadmap through rapid prototyping, the engineer helps validate concepts early, saving resources and accelerating the development of trustworthy, explainable AI solutions for critical industries. Their work influences strategic decisions about which product features and AI capabilities to pursue.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI/LLM integration, advanced front-end frameworks, or scalable API development.

• Leadership Development: Transition into a technical lead role, mentoring teams, and driving architectural decisions for prototyping initiatives.

• Cross-Functional Expansion: Move into product management or specialized AI engineering roles, leveraging the broad understanding gained from prototyping.

• Industry Expertise: Become a recognized expert in explainable and trustworthy AI development within critical sectors.

📝 Enhancement Note: The Senior Prototyping Engineer role offers a unique pathway for growth by combining core engineering skills with cutting-edge AI technologies and a deep understanding of product development cycles. The emphasis on "de-risking the roadmap" positions this role as strategically important for the company's innovation and market success.

🌐 Work Environment

Office Type: Seekr offers a hybrid work environment with physical office spaces in Reston, VA, and Austin, TX, alongside fully remote options. The offices are likely designed to foster collaboration, innovation, and the exchange of ideas, supporting the company's focus on building advanced AI solutions.

Office Location(s):

• Reston, Virginia, United States

Workspace Context:

• Collaborative Spaces: Offices are equipped to support team collaboration, brainstorming sessions, and cross-functional meetings, essential for rapid prototyping and feedback.

• Technology Access: Access to modern development tools, high-performance computing resources, and robust network infrastructure is expected to support complex prototyping and AI workloads.

• Team Interaction: Opportunities for in-person interaction in office locations, alongside robust virtual collaboration tools for remote and hybrid team members.

Work Schedule:

• Flexible working hours are offered, allowing employees to adapt their schedules to project needs and personal commitments, supporting a healthy work-life balance within the full-time structure.

📝 Enhancement Note: The hybrid and remote-friendly work environment at Seekr is designed to attract top talent across diverse locations while maintaining a strong collaborative culture. The flexibility in work hours and location supports the agile and iterative nature of prototyping work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess overall fit, experience, and alignment with the role's core requirements.

• Technical Interview(s): In-depth discussions focusing on JavaScript/TypeScript, React/Next.js, Python/FastAPI, and AI/LLM concepts. This may include live coding exercises or problem-solving scenarios.

• Portfolio Review: A dedicated session where candidates present their work, showcasing relevant prototypes, projects, and their approach to rapid experimentation and functional design.

• Behavioral & Cultural Fit Interview: Assessment of communication skills, agile mindset, problem-solving approach, and alignment with Seekr's values (outcomes, trust, responsibility, innovation).

• Hiring Manager Interview: Final discussion with the hiring manager to delve into strategic thinking, leadership potential, and team integration.

Portfolio Review Tips:

• Showcase Impact: Highlight prototypes that demonstrably de-risked a product roadmap, validated a key hypothesis, or led to significant product improvements.

• Detail Your Process: Clearly explain your approach to rapid prototyping, including how you leveraged specific technologies (React, Python, AI tools) and adapted to feedback.

• Demonstrate Functional Design: Walk through the user flows and design decisions made, explaining why certain choices were made to optimize usability and achieve proof of concept.

• Highlight AI Integration: If applicable, clearly articulate how AI/LLMs or AI coding assistants were used to accelerate development or create unique functionalities.

• Quantify Results: Where possible, use metrics to demonstrate the efficiency gains or positive outcomes achieved through your prototyping efforts.

Challenge Preparation:

• Be ready to discuss hypothetical product challenges and outline how you would approach building a functional prototype to validate them.

• Prepare to articulate the trade-offs between speed, fidelity, and code reusability in prototyping.

• Practice explaining complex technical concepts and prototype functionalities to non-technical stakeholders clearly and concisely.

📝 Enhancement Note: The interview process is designed to thoroughly evaluate technical proficiency, practical application through a portfolio, and cultural alignment. Candidates should be prepared to demonstrate not only their coding skills but also their strategic thinking and ability to communicate effectively about their work.

🛠 Tools & Technology Stack

Primary Tools:

• Front-End Frameworks: React, Next.js

• Languages: JavaScript, TypeScript, CSS, HTML

• Back-End/API: Python, FastAPI

• AI & LLMs: Experience with various AI models, agents, and LLM applications.

• AI Coding Assistants: Claude Code, Cursor, or similar tools for accelerated development.

• Prototyping Tools: Figma (preferred, but functional design skills are key).

• Data Integration: JSON APIs, RESTful services.

Analytics & Reporting:

CRM & Automation:

• Familiarity with how prototypes might interface with or inform CRM strategies or automated workflows is a plus, though not a primary focus.

📝 Enhancement Note: The core technology stack is centered around modern web development (React, Next.js) and Python-based back-end services (FastAPI), with a significant emphasis on the integration and utilization of AI technologies and tools, particularly AI coding assistants.

👥 Team Culture & Values

Operations Values:

• Driven by Outcomes: A relentless focus on achieving customer success and delivering tangible results through innovative AI solutions.

• Trust Earned: Commitment to building explainability and transparency into the entire AI lifecycle, ensuring users can rely on Seekr's technology.

• Responsibility: A serious dedication to delivering secure and reliable AI solutions, especially critical for government and enterprise clients.

• Innovation Drives Progress: A belief in pushing technological boundaries to build the foundational AI systems that society depends on.

Collaboration Style:

• High Trust & Agility: Encourages independent work, rapid experimentation, and quick adaptation based on feedback.

• Cross-Functional Partnership: Seamless collaboration between engineering, product, and design teams is essential for effective prototyping.

• Open Communication: Valuing clear and honest communication to present ideas, share feedback, and ensure alignment across diverse stakeholders.

📝 Enhancement Note: Seekr's culture is deeply intertwined with its mission to provide trustworthy and explainable AI. The values emphasize a proactive, responsible, and innovative approach to technology development, fostering an environment where engineers are empowered to make a significant impact.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Speed and Fidelity: Rapidly building prototypes without sacrificing essential user experience quality or technical feasibility.

• Integrating Evolving AI Technologies: Staying abreast of and effectively integrating the latest advancements in AI, LLMs, and AI coding tools into the prototyping workflow.

• Communicating Technical Concepts: Translating complex AI functionalities and prototype capabilities into understandable terms for non-technical stakeholders.

• Managing Ambiguity: Navigating the inherent uncertainty in early-stage product development and adapting quickly to shifting requirements and feedback.

Learning & Development Opportunities:

• AI/LLM Specialization: Opportunities to become an expert in applying cutting-edge AI technologies to product development and prototyping.

• Advanced Prototyping Techniques: Developing mastery in creating sophisticated, interactive prototypes that closely mimic final product behavior.

• Cross-Functional Acumen: Gaining a deep understanding of product strategy, UX design, and business requirements through close collaboration.

• Industry Impact: Contributing to AI solutions that address critical challenges in defense, finance, and government sectors.

📝 Enhancement Note: This role presents exciting challenges at the intersection of software engineering, AI, and product strategy. The growth opportunities are significant for individuals looking to become leaders in the rapidly evolving field of explainable AI.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to build a functional prototype under tight deadlines. What was your process, and what were the key trade-offs you made?" (Focus on agile mindset, process, and decision-making.)

• "How would you approach prototyping a new AI feature for our platform that leverages LLMs? What technologies would you use, and how would you demonstrate its value?" (Assess technical approach, AI knowledge, and communication.)

Company & Culture Questions:

• "What interests you about Seekr's mission to build explainable and trustworthy AI for critical industries?" (Gauge alignment with company values and mission.)

• "How do you contribute to a high-trust, agile team environment?" (Assess cultural fit and collaboration style.)

Portfolio Presentation Strategy:

• Structure: Organize your portfolio by project, clearly stating the problem, your solution (the prototype), the technologies used, and the outcome/impact.

• Storytelling: For each project, tell a compelling story about the challenge, your approach, and the lessons learned.

• Demonstrate Functionality: If possible, provide live demos or interactive walkthroughs of your prototypes. If not, use clear screen recordings or detailed descriptions.

• Highlight AI Integration: Specifically call out any use of AI/LLMs or AI coding assistants, detailing how they were used and the benefits achieved.

• Quantify Impact: Whenever possible, use metrics (e.g., reduction in development time, validation of a key assumption, user feedback) to showcase the value of your work.

📝 Enhancement Note: Preparation should focus on demonstrating a blend of technical prowess, strategic thinking, and effective communication. The portfolio is the centerpiece, so candidates should be ready to present it confidently and discuss it in detail, highlighting how their work aligns with Seekr's values and objectives.

📌 Application Steps

To apply for this Senior Prototyping Engineer position:

• Submit your application through the provided career link on Seekr's website.

• Tailor Your Resume: Emphasize your experience with JavaScript/TypeScript, React/Next.js, Python/FastAPI, AI/LLM integration, and rapid prototyping. Use keywords from the job description to highlight your relevant skills and achievements.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your ability to build high-fidelity, functional prototypes, especially those involving AI or demonstrating rapid iteration. Ensure clear documentation of your process and impact.

• Prepare Your Narrative: Practice articulating your experience, especially how you've used prototyping to de-risk roadmaps and your approach to integrating AI technologies. Be ready to discuss your portfolio projects in detail.

• Research Seekr: Understand Seekr's mission, products (SeekrFlow™), and values. Be prepared to discuss how your skills and approach align with their commitment to trustworthy and explainable AI.

⚠️ 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.