Full Stack AI Engineer

We're looking for a Full Stack AI Engineer who enjoys building products from the ground up. This is a hands-on engineering role for someone who thrives in ambiguity, takes ownership, and enjoys turning ideas into production-ready AI applications.

We're looking for builders, not just coders—people who think beyond implementation, challenge assumptions, and care about delivering products that create real user value.

What You'll Do

• Design, build, and ship end-to-end AI-powered applications from concept to production.
• Develop modern, scalable front-end applications using Next.js and React.
• Build robust backend services and APIs using Python and Node.js.
• Develop, integrate, and optimize AI/ML models using PyTorch and modern LLM frameworks.
• Work closely with product, design, and AI teams to rapidly prototype and iterate on new features.
• Build scalable architectures that support performance, security, and reliability.
• Deploy and maintain cloud-native applications and AI services.
• Evaluate emerging AI technologies and recommend practical adoption where appropriate.
• Take ownership of technical decisions and contribute to overall product strategy.

What We're Looking For

• 4+ years of experience in full-stack software engineering.
• Strong proficiency in Next.js, React, JavaScript/TypeScript.
• Strong backend development experience with Python and Node.js.
• Hands-on experience building AI or machine learning applications using PyTorch.
• Experience integrating LLMs, generative AI models, or AI inference services into production applications.
• Solid understanding of RESTful APIs, microservices, databases, and distributed systems.
• Experience deploying applications on cloud platforms such as AWS, GCP, or Azure.
• Familiarity with containerization technologies such as Docker and Kubernetes is an advantage.
• Comfortable working in fast-paced startup or product environments.

We're Especially Interested In People Who

• Build side projects, open-source contributions, or AI products outside of work.
• Take ownership instead of waiting for detailed specifications.
• Think from first principles and enjoy solving complex problems.
• Care deeply about product quality and user experience.
• Can move quickly while maintaining high engineering standards.
• Enjoy experimenting, learning, and shipping.

Nice to Have

• Experience with vector databases, retrieval-augmented generation (RAG), AI agents, or multimodal AI systems.
• Experience with model serving, fine-tuning, or ML infrastructure.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience working in startups or building products from zero to one.