Full-Stack AI Engineer
Location: Cupertino, CA (5x/ week onsite)
Job Summary
We are seeking a versatile Full-Stack AI Engineer to join our product team. You will be responsible for building end-to-end applications that leverage modern web technologies and state-of-the-art AI/ML models. The ideal candidate thrives on the intersection of intuitive UI/UX design and the underlying complexity of machine learning pipelines.
Key Responsibilities
Frontend Development: Design and implement highly responsive, interactive user interfaces using React (18+) and TypeScript.
AI Integration: Architect and deploy AI-driven features such as LLM-powered chatbots, RAG (Retrieval-Augmented Generation) pipelines, and recommendation engines.
Backend & APIs: Build scalable REST or GraphQL APIs and serverless backend services to handle complex AI inference tasks.
Model Implementation: Integrate models from platforms like OpenAI, Hugging Face, or Anthropic using frameworks like LangChain.
Database Management: Design and optimize schemas for both traditional databases (PostgreSQL, MongoDB) and Vector Databases (Pinecone, Weaviate).
MLOps: Collaborate on model deployment, monitoring, and fine-tuning to ensure production-grade performance and reliability.
Required Skills & Qualifications
Frontend: Proficiency in React.js, and modern CSS frameworks like Tailwind CSS.
Backend: Strong experience with Node.js or Python (Django/FastAPI).
AI/ML: Hands-on experience with Prompt Engineering, LLM APIs, and fine-tuning machine learning models.
ML Frameworks: Familiarity with PyTorch or TensorFlow.
Cloud & DevOps: Experience with AWS (SageMaker, Lambda) or GCP for deploying AI solutions.
Experience: Min 5+ years in full-stack development with a proven portfolio of AI-integrated projects.
Preferred Qualifications
Contributions to open-source AI projects.
Certifications in AI/ML from Coursera (Andrew Ng), Google, or AWS.
Knowledge of MLOps best practices (tracking, versioning, and monitoring models).
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