Founding AI Engineer (Product, Engineering, UX Research)

📍 Job Overview

Job Title: Founding AI Engineer (Product, Engineering, UX Research)

Company: Huzzle

Location: India

Job Type: FULL_TIME

Category: AI Engineering / Product Development Operations

Date Posted: 2025-08-17

Experience Level: Mid-Senior Level (3-10 years)

Remote Status: Fully Remote

🚀 Role Summary

• This is a unique hybrid role fusing AI Engineering with Product Development and UX Research to build innovative agentic, generative, and conversational AI systems.

• The position demands full-stack execution, focusing on designing, building, and shipping core product features leveraging a modern, AI-first architecture.

• Expect to prototype and deploy novel features using cutting-edge AI development tools, emphasizing a design-forward mindset to craft seamless user experiences.

• A key aspect involves developing scalable, intelligent agents capable of on-demand, brand-consistent generation through creative API orchestration.

• The role offers significant strategic input, allowing the individual to shape product roadmaps and infrastructure decisions within a lean, founder-led team, requiring rapid iteration and a founder's mindset.

📝 Enhancement Note: While the job title is "AI Engineer," the core responsibilities and required skills clearly indicate a hybrid role that extends into product management and user experience research, emphasizing the operationalization of AI features within a product context. This is typical for early-stage startups where individuals wear multiple hats.

📈 Primary Responsibilities

• Design, build, and deploy core product features across the full stack, utilizing React, Node.js, and an AI-first architectural approach.

• Prototype and implement innovative features using AI development tools such as Cursor and Augment, focusing on creating "magical" user interactions.

• Develop and refine user experiences with a design-forward mindset, ensuring intuitive and user-friendly interfaces, even without a formal design background.

• Engineer scalable, intelligent agents capable of performing brand-consistent, on-demand content generation.

• Orchestrate and integrate various AI APIs (e.g., OpenAI, Google AI, Anthropic, Bedrock, Openrouter) into intelligent, unified pipelines for enhanced functionality.

• Contribute strategically to product roadmaps, infrastructure decisions, and overall company direction as a core member of the founding team.

• Practice rapid iteration, prioritizing fast building and shipping cycles, with a strong emphasis on debugging, feature testing, and performance tuning.

📝 Enhancement Note: The responsibilities highlight a blend of technical execution, product strategy, and user-centric design. The emphasis on "AI-first architecture" and "agentic, generative, and conversational AI systems" points towards a role focused on operationalizing advanced AI capabilities into tangible product features, requiring a deep understanding of how to bridge AI models with user needs and business objectives.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in Computer Science, Engineering, or a related technical field is typically expected for this level of technical responsibility.

Experience: 3+ years of hands-on full-stack development experience, with a proven track record of shipping production-ready products or significant side projects, demonstrating ownership and execution capabilities.

Required Skills:

• Full-Stack Development: Proficient in JavaScript/TypeScript, with strong experience in Node.js and React for both backend and frontend development.

• AI Development Tools: Hands-on experience with or a strong, demonstrable interest in utilizing AI development tools like Cursor, Augment, OpenAI, Anthropic, Google AI, or Bedrock for prototyping and deployment.

• API Orchestration & Prompt Engineering: Solid understanding of combining multiple AI APIs and crafting effective prompts for generative and conversational AI systems.

• Product & UX Intuition: A natural product sense with a UX-first mindset, prioritizing user experience, detail-orientation, and intuitive interface design.

• Startup Acumen: Proven ability to thrive in high-autonomy, fast-paced startup environments, demonstrating comfort with ambiguity and building structure amidst chaos.

• Agile Development: Ability to balance speed, quality, and experimentation within an agile development cycle, including rapid iteration and performance tuning.

• Communication: Excellent communication skills, with the ability to collaborate effectively asynchronously and articulate technical decisions clearly.

• Problem-Solving: Creative problem-solving skills, with a capacity to think in terms of user workflows and empathetic code development.

Preferred Skills:

• Python: Proficiency in Python is a bonus, given its prevalence in AI and data science.

• Infrastructure Knowledge: Familiarity with modern backend architecture and scalable infrastructure components like PostgreSQL, Docker, Cloudflare Workers/R2, AWS, or GCP.

• Technical Operations: Experience as a technical operator or prior founding engineering roles, indicating a deep ownership mentality.

• Generative AI Systems: Experience building or deploying autonomous systems, particularly those focused on brand-consistent, on-demand generation.

📝 Enhancement Note: The "Who You Are" section strongly emphasizes soft skills and a particular mindset (founder, creative, hands-on AI builder, startup-native, UX-aware, clear communicator, relentless learner, product thinker). These are crucial for early-stage roles and indicate the company values proactive, self-driven individuals who can contribute beyond pure coding. The "AI-first architecture" and specific tools like Cursor and Augment suggest a focus on operationalizing AI workflows rather than just theoretical AI research.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate end-to-end product development, showcasing contributions to product vision, engineering execution, and user experience research.

• Provide examples of shipping complex features or products, highlighting the process from ideation to deployment and iteration.

• Showcase projects that involved integrating AI models or APIs, illustrating your ability to orchestrate these systems effectively.

• Include case studies of how you’ve approached user experience design and problem-solving, emphasizing a user-centric approach.

Process Documentation:

• Detail your approach to rapid prototyping and iteration, illustrating how you move from concept to functional code quickly.

• Document examples of how you've combined different tools or APIs to create unified, intelligent workflows, particularly in an AI context.

• Present how you've incorporated user feedback or UX principles into your development process to enhance product usability and feel.

• Illustrate your methodology for debugging complex systems, especially those involving AI and distributed components.

📝 Enhancement Note: For an early-stage, "founding" role, a portfolio is critical for demonstrating practical application of skills, particularly in a hybrid product/engineering/UX capacity. The focus should be on impact, ownership, and the ability to translate complex AI concepts into user-friendly features. Demonstrating experience with tools like Cursor and Augment, or similar AI-assisted development workflows, would be highly advantageous.

💵 Compensation & Benefits

Salary Range: As this is a founding role in a venture-backed startup, compensation is likely to be competitive and may include a significant equity component. Based on industry benchmarks for experienced AI Engineers with product and UX overlap in India, a base salary range of ₹25,00,000 to ₹45,00,000 per annum could be expected. This is an estimate and will be influenced by the candidate's specific experience, the company's funding stage, and the overall compensation package including equity.

Benefits:

• Competitive Compensation: Offering a strong base salary reflecting the critical nature of the role.

• Equity Potential: Significant equity opportunities tied to company milestones, aligning personal success with company growth.

• Fully Remote: Complete flexibility to work from anywhere, fostering a global talent pool.

• Async-First Culture: Emphasis on asynchronous communication, promoting deep work and flexibility across time zones.

• High Flexibility: Autonomy in managing work schedule and approach to tasks.

• Zero Bureaucracy: A lean operational structure that enables rapid decision-making and execution.

• Creative Ownership: The opportunity to shape the product vision and technical direction, fostering a sense of deep ownership.

• Cutting-Edge AI Stack and Tools: Access to and utilization of the latest AI technologies and developer tools.

• Foundational Team Member: The chance to be an integral part of a venture-scale company from its early stages, with direct impact on its trajectory.

Working Hours: While a standard 40-hour work week is implied for full-time employment, Huzzle's "async-first" culture suggests a high degree of flexibility in how and when work is completed, focusing on output and impact rather than strict adherence to office hours.

📝 Enhancement Note: The "Async-First Culture" and "High Flexibility" point to a modern work environment that prioritizes results and individual autonomy. The inclusion of "Equity Potential" is a strong indicator of the startup's growth ambitions and its desire to attract and retain key talent by offering a stake in the company's success. The salary estimate is based on Indian market rates for senior engineering roles with specialized AI and product skills, adjusted for the startup environment.

🎯 Team & Company Context

🏢 Company Culture

Industry: Huzzle operates within the broader technology and recruitment/talent solutions sector, specifically focusing on connecting high-performing professionals with global companies. The company's product development, however, is centered around AI and creative tooling.

Company Size: As a startup, Huzzle is likely small and lean, potentially in the early-stage growth phase, allowing for significant individual impact and direct influence on company direction. This size fosters a close-knit team environment.

Founded: The founding date is not specified, but the emphasis on "founding AI Engineer" and "founder-led team" suggests Huzzle is in its foundational or early growth stages, offering a high-impact environment for early employees.

Team Structure:

• The team is described as "small" and "founder-led," implying a flat hierarchy and direct access to leadership.

• The AI Engineer will likely be a critical early technical hire, working closely with founders on product strategy and execution.

Methodology:

• Data-Driven Product Development: User data and feedback are implicitly crucial for shaping product roadmaps and feature iteration.

• Agile & Lean Execution: The company prioritizes "rapid iteration," "build fast, ship faster," and "zero bureaucracy," indicating a highly agile and lean operational methodology.

• AI-Centric Innovation: The core methodology revolves around leveraging AI capabilities to create novel, "magical" features that push the boundaries of what's possible in creative tooling.

Company Website: huzzle.com

📝 Enhancement Note: The company culture is clearly geared towards high-achievers who are comfortable with ambiguity and driven by impact. The "AI-first" approach permeates the product development methodology, suggesting a focus on leveraging AI not just as a feature, but as a core enabler of the product's innovation and differentiation.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Founding AI Engineer," indicating a senior, foundational position within the company. It offers the opportunity to shape the technical direction and product architecture from the ground up, akin to a senior individual contributor role with significant product influence.

Reporting Structure: The engineer will report directly to the founders or a very early-stage leadership team, providing direct access and influence on strategic decisions.

Operations Impact: The role has a direct and profound impact on the company's core product development, user experience, and technological innovation. As a founding member, contributions will be foundational to the company's success and market positioning in the AI tooling space.

Growth Opportunities:

• Technical Leadership: Opportunity to grow into a technical leadership role as the company scales, potentially leading engineering teams or defining technical architecture.

• Product Ownership: Deep involvement in product strategy and roadmap development can lead to expanded product ownership responsibilities.

• AI Specialization: Deepen expertise in generative AI, conversational AI, and AI system orchestration through hands-on experience with cutting-edge tools and complex problem-solving.

• Startup Scaling Experience: Gain invaluable experience in scaling a tech company from its early stages, understanding the operational and strategic challenges involved.

• Entrepreneurial Exposure: Work directly alongside founders, gaining insights into entrepreneurship, venture funding, and business building.

📝 Enhancement Note: The "Founding" aspect of this role is key; it implies a high degree of responsibility, direct impact, and potential for significant personal and professional growth as the company scales. The opportunity to influence product and technology from inception is a major career development pathway for ambitious engineers.

🌐 Work Environment

Office Type: Fully Remote. This implies a distributed team structure, with significant reliance on digital collaboration tools and asynchronous communication.

Office Location(s): While the role is remote and open to candidates in India, Huzzle also serves clients in the UK, US, Canada, Europe, and Australia, suggesting a global operational perspective.

Workspace Context:

• Async-First Collaboration: The workspace is designed around asynchronous communication, fostering deep work and flexibility, with tools like Slack and Loom likely being central to daily interaction.

• Lean & Agile Operations: Expect a dynamic and fast-paced environment with minimal bureaucracy, encouraging quick decision-making and rapid deployment cycles.

• Innovation Hub: The environment is focused on pushing AI boundaries, providing access to cutting-edge tools and a culture that encourages experimentation and creative problem-solving.

Work Schedule: The "async-first culture with high flexibility" suggests that while a full-time commitment is expected, individuals have considerable autonomy in structuring their workday, prioritizing output and collaboration efficiency over rigid hours.

📝 Enhancement Note: The emphasis on "async-first" is crucial for candidates to understand. It means communication and collaboration are designed to be effective across different time zones and schedules, requiring strong self-discipline, clear written communication, and proactive engagement.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely to involve a review of the resume and a brief call to assess basic qualifications and cultural fit.

• Technical/Product Deep Dive: Expect in-depth discussions about your full-stack experience, AI tool proficiency, product thinking, and UX approach. This may include coding challenges or system design discussions.

• Portfolio Review: A critical stage where candidates will present their past work, focusing on specific projects that demonstrate their capabilities in AI integration, full-stack development, product ownership, and UX research.

• Founder/Team Interviews: Conversations with the founding team to assess alignment with company vision, values, and ability to thrive in a high-autonomy startup environment. This stage will likely gauge strategic thinking and problem-solving skills.

• Offer: Final offer extended, potentially including discussions on equity and compensation.

Portfolio Review Tips:

• Showcase Hybrid Skills: Curate projects that clearly demonstrate your abilities across Product, Engineering, and UX Research.

• Highlight AI Integration: Present specific examples of how you've used AI tools or APIs to build features, solve problems, or create unique user experiences. Detail your prompt engineering and API orchestration strategies.

• Emphasize Impact & Ownership: For each project, clearly articulate the problem, your solution, your specific contributions, and the measurable impact or outcomes. Demonstrate a "founder's mindset."

• UX Sensitivity: Illustrate your consideration for user experience, even if it wasn't your primary focus. Show how you thought about usability, design intuition, and user workflows.

• Rapid Iteration Examples: If possible, showcase projects that involved fast prototyping, iteration based on feedback, or optimization for performance.

• Clear Communication: Be prepared to walk through your projects clearly, explaining technical decisions, trade-offs, and the "why" behind your approach.

Challenge Preparation:

• Technical Skills: Brush up on JavaScript/TypeScript, Node.js, React, and general backend architecture principles. Be ready to discuss AI concepts and tools.

• Product Thinking: Prepare to discuss your approach to product ideation, feature prioritization, and translating user needs into technical requirements.

• Problem Solving: Practice thinking through complex problems, breaking them down, and articulating solutions, especially those involving AI and user experience.

• Company Research: Understand Huzzle's mission, the problems they are solving, and their target market. Be ready to articulate how your skills align with their goals.

📝 Enhancement Note: The portfolio is likely the most crucial element for this role. Candidates should prioritize showcasing projects that blend technical execution with product vision and user empathy, especially those involving AI. The interview process will heavily weigh the ability to demonstrate practical application and ownership.

🛠 Tools & Technology Stack

Primary Tools:

• Languages: TypeScript, JavaScript, Python (bonus)

• Frontend: React

• Backend: Node.js, Wasp (specifically mentioned as easy to pick up)

• Infra: Cloudflare Workers/R2, PostgreSQL, Docker

• AI & APIs: OpenAI, Anthropic, Google AI, Bedrock, Openrouter

• Dev Tools: Cursor, Augment, Git, Linear

Analytics & Reporting:

• While not explicitly listed, expect to utilize tools for product analytics (e.g., Amplitude, Mixpanel) and potentially performance monitoring tools for backend systems.

CRM & Automation:

• Not directly mentioned as a primary focus for this role, but understanding CRM concepts and potential integrations with AI-driven products could be advantageous.

📝 Enhancement Note: The tech stack is modern and heavily focused on AI and efficient development workflows. Familiarity with Wasp (a framework for building full-stack apps with React, Node.js, and TypeScript) would be a plus, as it's highlighted as an easy-to-learn component. The emphasis on AI APIs and development tools like Cursor and Augment is critical.

👥 Team Culture & Values

Operations Values:

• Ownership & Impact: A strong emphasis on taking personal responsibility for outcomes and driving tangible results, reflecting a "founder's mindset."

• Creativity & Innovation: Encouraging the development of "magical" features and pushing the boundaries of what's possible with AI.

• User Empathy: A deep consideration for the user experience, ensuring that technical solutions are intuitive and delightful.

• Speed & Agility: A commitment to rapid iteration, fast shipping, and efficient problem-solving in a dynamic environment.

• Continuous Learning: A passion for AI and a drive to constantly seek out and adopt better ways of building and solving problems.

Collaboration Style:

• Async-First: Communication and collaboration are designed to be effective across distributed teams and varying schedules, relying heavily on clear written communication and proactive engagement.

• Direct & Transparent: As a small, founder-led team, expect open communication channels and direct feedback.

• Cross-Functional Synergy: The role inherently requires close collaboration between engineering, product vision, and UX considerations, fostering a synergistic approach to development.

📝 Enhancement Note: The core values revolve around a startup ethos: high ownership, rapid execution, and a strong focus on creating innovative, user-centric products powered by AI. The async-first culture is a defining characteristic of the collaboration style.

⚡ Challenges & Growth Opportunities

Challenges:

• Ambiguity and Rapid Change: Navigating the inherent uncertainties of an early-stage startup, where priorities can shift quickly, and structure needs to be built from scratch.

• Balancing Speed and Quality: The need to iterate rapidly while maintaining high standards for product quality and user experience in a fast-paced environment.

• Cross-Functional Integration: Effectively bridging technical AI capabilities with user needs and product strategy in a hybrid role.

• Scalability: Ensuring that the AI systems and product architecture are designed for future growth and scalability as the company expands.

Learning & Development Opportunities:

• Deep AI Expertise: Gain hands-on experience with leading AI models and development tools, becoming an expert in an rapidly evolving field.

• Product Incubation: Play a key role in defining and building a product from its inception, understanding the full lifecycle of product development.

• Startup Growth Dynamics: Learn firsthand about scaling a technology company, including fundraising, team building, and market strategy.

• Leadership Potential: Develop leadership skills by taking significant ownership and influencing technical and product direction.

📝 Enhancement Note: The challenges are typical of early-stage startups, requiring adaptability and a proactive approach. The growth opportunities are substantial, offering a chance to build significant expertise and gain exposure to the full spectrum of startup operations.

💡 Interview Preparation

Strategy Questions:

• Product Strategy: "How would you approach building a new generative AI feature from concept to launch? What are the key considerations for user experience and technical implementation?" Be ready to discuss feature ideation, user workflow design, and AI model selection.

• AI Orchestration: "Describe a scenario where you've combined multiple APIs or AI models to achieve a specific outcome. What were the challenges, and how did you overcome them?" Prepare to detail your experience with prompt engineering and API integration.

• Problem Solving & Ownership: "Tell me about a time you had to build something with limited resources or in an ambiguous situation. How did you define success, and what was the outcome?" Focus on demonstrating your "founder's mindset" and ability to create structure.

• UX Intuition: "How do you ensure that a product feels 'right' to the user, even if you don't have a formal design background? Can you give an example?" Prepare to discuss your approach to user-centric design and attention to detail.

Company & Culture Questions:

• Vision Alignment: "What excites you about Huzzle's mission and the future of AI tooling? How do you see this role contributing to our success?" Show genuine interest and understanding of the company's goals.

• Async Collaboration: "How do you ensure effective communication and collaboration in an async-first environment?" Be ready to discuss your strategies for proactive communication and managing distributed workflows.

• Startup Fit: "Describe your experience in high-autonomy, fast-paced startup environments. What do you enjoy most, and what challenges do you anticipate?" Highlight your adaptability and self-motivation.

Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation around a clear narrative for each project: the problem, your role, the solution (especially AI integration), the outcome, and lessons learned.

• Show, Don't Just Tell: Use demos, screenshots, or code snippets where appropriate to illustrate your work and its impact.

• Highlight Hybrid Skills: Explicitly call out how your work demonstrates capabilities in Product, Engineering, and UX Research.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your projects (e.g., user engagement, performance improvements, efficiency gains).

• Focus on AI Differentiation: Emphasize your unique contributions related to AI, prompt engineering, and API orchestration.

Challenge Preparation:

• Be prepared for potential coding challenges that test full-stack proficiency, especially with JavaScript/TypeScript and React/Node.js.

• A system design question related to building an AI-powered feature or agent is highly probable. Focus on scalability, API integration, and user experience.

• A product thinking exercise might involve ideating or improving an AI feature, requiring you to articulate your thought process and rationale.

📝 Enhancement Note: The interview process will heavily scrutinize your ability to operate autonomously, think critically about product and user experience, and demonstrate practical skills in AI development. Your portfolio is your primary tool to showcase these capabilities.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Workable.

• Tailor your Resume: Highlight your full-stack development experience (JavaScript/TypeScript, Node.js, React), any experience with AI tools (OpenAI, Cursor, Augment, etc.), and your product/UX sensibility. Use keywords from the job description and emphasize ownership and impact.

• Curate Your Portfolio: Select 2-3 key projects that best demonstrate your hybrid skills (AI Engineering, Product, UX Research), rapid iteration capabilities, and your "founder's mindset." Prepare to walk through these projects in detail, focusing on your specific contributions and the outcomes.

• Prepare for Technical/Product Questions: Review modern backend architecture, API orchestration, and prompt engineering concepts. Be ready to discuss your product development process and how you approach user experience.

• Research Huzzle: Understand their mission, their focus on AI, and the problems they aim to solve. Prepare thoughtful questions about the role, the team, and the company's vision.

⚠️ 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.