AI Product Engineer

As an AI Product Engineer at Lightfield, you will take on multiple responsibilities, including collaborating with product leaders to identify customer needs, implementing LLM-powered solutions, and developing domain-specific AI assistants. Your role will involve creating prompts, optimizing AI agents, and enhancing the quality of AI interactions through empirical evaluation. You will also be tasked with shaping technical direction and best practices for AI application development.

To be considered for the AI Product Engineer role at Lightfield, candidates should possess a degree in Computer Science or a related field, alongside a robust foundation in software engineering principles. Familiarity with AI and ML concepts is essential, with practical experience working with LLMs through either professional projects or personal experimentation being highly valued.

At Lightfield, the tech stack you'll be engaging with includes TypeScript, React, Next.js, Node.js, Apollo GraphQL, and Aurora PostgreSQL. A passion for exploring these technologies, particularly LLMs and LLMOps, is crucial as you'll be integrating these tools to develop innovative AI solutions.

Lightfield is committed to fostering a growth-oriented environment. As an AI Product Engineer, you'll have opportunities for mentorship and team-building, allowing you to sharpen your skills and advance your career. You will also be encouraged to stay current with industry advancements, thus promoting continuous learning and development.

The culture at Lightfield emphasizes collaboration, innovation, and continuous improvement. As an AI Product Engineer, you'll work in a friendly, team-oriented environment where your ideas and contributions are valued. We prioritize a balance between ambitious goals and delivering tangible user value, fostering an atmosphere where everyone can thrive.

To answer this question effectively, provide specific examples of projects where you have used LLMs, detailing the challenges you faced and how these models helped solve them. Highlight your understanding of the technology and any innovative approaches you took in applying LLMs.

Reflect on a project where the objectives weren’t clearly defined, explaining how you approached the ambiguity. Discuss your problem-solving strategies, the process you followed, and the successful outcome that resulted from your independent drive.

Demonstrate your commitment to continuous learning by mentioning specific resources you use, such as academic papers, online courses, or forums. Discuss any communities you engage with and how you've integrated new knowledge into your work.

Outline your approach to evaluation and iterative improvement. Discuss metrics you focus on, such as relevance and latency, and any specific methodologies you apply to enhance AI performance throughout the development process.

In response, describe your task management techniques, whether you use agile methodologies, prioritization frameworks, or other methods to ensure balanced project delivery. Highlight how you adapt to shifting priorities and manage stakeholder expectations.

Discuss a specific technical challenge, detailing the context around it. Convey the problem-solving process you followed, the tools and techniques you employed, and the lessons learned from the experience to showcase your technical aptitude.

Talk about your insights on RAG (Retrieval-Augmented Generation) pipelines, explaining how they integrate retrieval components with generation models. Discuss any practical experience you've had working with such systems and their significance in developing AI solutions.

Illustrate your interpersonal skills by sharing specific examples where you've fostered collaboration, whether through team-building activities, open communication practices, or mentorship. Highlight the importance of teamwork in achieving project goals.

Focus on your proficiency in TypeScript and how its features contribute to your development process. Mention any projects where TypeScript led to measurable improvements in code quality or team efficiency, showcasing its value in your coding practice.

Here, you can express your enthusiasm for Lightfield's mission and how it aligns with your professional goals. Discuss your fascination with the challenges in CRM and AI innovation, and how you see yourself contributing to the team's success.