What are the responsibilities and job description for the Product Engineer - Full Stack position at hireVouch?
We're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
About Us
We're the only company offering three integrated solutions for frontier AI development:
- Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
- Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models
- Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
Why Join Us
- High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
- Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
- Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
- Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
- Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
Fresh grads are encouraged to apply!
Role Overview
We’re looking for a Product Engineer to join our Perception team, where you’ll help build easy-to-use and efficient tools that support the development of cutting-edge AI systems like those for generative AI and computer vision. You'll work on both the frontend and backend, creating UI components and reliable systems that help our customers train better AI models.
As a product-minded engineer, you'll work directly with stakeholders to bring ideas to life, build technical solutions from conception to production that drive business impact, and make sure our platform runs smoothly. You’ll innovate and push technological boundaries in order to meet the rapidly evolving needs of our customers, helping them create AI models that can work with multi-modal data.
Your Impact
- Support AI development by building interactive and reliable tools that help train AI models using various types of data, including text, images, audio, and video.
- Build new features by working with a cross-functional team to create, test, and improve the tools our customers use every day.
- Solve technical challenges by thinking through complex and ambiguous problems and coming up with practical, effective solutions.
- Help customers succeed by assisting our support team in resolving issues and improving the overall user experience.
- Keep systems running smoothly by participating in on-call rotations to monitor and fix any issues that arise.
- Make the team better by suggesting and implementing ways to improve how we work and build software.
- Share your knowledge by writing and reviewing technical documentation to help the team and future developers.
What You Bring
- 2 years of experience as a full-stack engineer, working on both frontend user interfaces and backend systems.
- Strong skills in TypeScript, Node.js, and GraphQL, and familiarity with Python, Kubernetes, and Google Cloud tools like MySQL, Spanner, GCS, and PubSub.
- 2 years of experience using frontend frameworks like React/Redux, and the ability to turn designs into interactive, responsive web pages.
- A proactive attitude, taking ownership of your work and looking for ways to make the product and team better.
- Comfort working in a fast-paced, agile environment, where priorities can shift, and quick problem-solving is key.
- A focus on writing clean, well-tested code, and delivering your work on time.
Bonus Points
- Experience building tools for AI applications, like evaluating large language models or monitoring AI performance.
- Knowledge of natural language processing (NLP) techniques.