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Aptino, Inc.

GenAI Design Architect Job at Aptino, Inc. in Santa Clara County

Aptino, Inc., Santa Clara County, CA, US

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Role: GenAI Design Architect

Location: Santa Clara County, California, United States (Onsite)

Duration: 12 months


We are looking for a skilled AI Architect with strong expertise in OpenAI technologies, Python development, and building AI-driven applications. The ideal candidate should have hands-on experience in designing, developing, and deploying LLM-based solutions, integrating OpenAI APIs, and working with machine learning pipelines.


Key Responsibilities

  • Design, develop, and implement AI/LLM-based solutions using OpenAI models (GPT, Embeddings, Assistants, Vector Stores, Fine-tuning).
  • We are seeking a Generative AI (GenAI) Design Engineer to join our team and drive innovation in AI-powered solutions.
  • Build robust, scalable Python applications integrating OpenAI APIs and other GenAI frameworks.
  • Develop end-to-end pipelines for prompt engineering, data preprocessing, model evaluation, and deployment.
  • Collaborate with product and engineering teams to identify AI use cases and deliver production-ready solutions.
  • Optimize model performance, latency, and cost using best practices.
  • Create tools, scripts, and automations for AI workflows (e.g., embeddings, RAG systems, chatbots).
  • Ensure AI systems follow security, compliance, and ethical guidelines.
  • Maintain documentation, architecture diagrams, and code quality standards.

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related field.
  • 2–6 years of experience as an AI Engineer / ML Engineer / Python Developer.
  • Strong programming proficiency in Python and related libraries (FastAPI, Flask, Pandas, NumPy).
  • Hands-on experience with OpenAI APIs, including GPT models, Assistants, Function Calling, Fine-tuning, and Embeddings.
  • Experience building LLM-based applications, such as chatbots, RAG systems, classification tools, automation agents, or content generation engines.
  • Familiarity with vector databases (Pinecone, ChromaDB, FAISS, Weaviate).
  • Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker).
  • Understanding of ML fundamentals: NLP, model evaluation, prompt engineering.
  • Strong problem-solving, analytical, and communication skills.