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Full-Stack AI Engineer; React​/Python

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Diverse Lynx
Full Time position
Listed on 2026-03-01
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Full-Stack AI Engineer (React / Python)

Key Responsibilities

  • Frontend Development:
    Design and implement highly responsive, interactive user interfaces using React (18+) and Type Script.
  • 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 Graph

    QL 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 Lang Chain.
  • Database Management:
    Design and optimize schemas for both traditional databases (Postgre

    SQL, Mongo

    DB) 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 Tensor Flow.
  • Cloud & Dev Ops:
    Experience with AWS (Sage Maker, 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).

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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