Founding AI Engineer

4 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:


Generative

AI Foundation:


  • Design,develop, and maintain highly friendly and customized smart agents with human characteristics to help lonely people, especially seniors.  
  • Evaluate large language models and new advanced technologies to setup AI foundation.  
  • Usemodern Generative AI technologies, like LLM fine tuning, prompt engineering, few-shot examples and RAG, to make agents faster and better.  
  • Design,develop, and continuously improve technologies to quickly detect and notify abnormal situations.  
  • Learn from users and build highly personalized agents.  


Platform:


  • Build and optimize large-scale, highly efficient and highly reliable multi-tenant, multi-agent AI Platform.  


  • Design and implement RESTful APIs to support mobile apps and multiple B2B partners.  


  • Build data foundation and pipelines for ML model training.  


Integration and Deployment:


  • Implement CI/CD/CT pipelines to automate the testing, building, training, evaluation, and deployment of AI products.  


  • Work with cloud services (e.g., AWS, Azure, Google Cloud) to deploy back-end AI services.  


Collaboration:


  • Collaborate with product managers, designers, and other engineers to define project requirements and deliverables.  


  • Participate in code reviews, contribute to best practices, and mentor junior engineers.  


Performance Optimization:


  • Optimizevapplications for maximum speed and scalability.  


  • Monitor and address performance issues, crashes, and other technical challenges.  


Testing and Quality Assurance:


  • Write unit, integration, and end-to-end tests to ensure the reliability of the mobile applications.  


  • Collaborate with QA teams to conduct manual and automated testing.  


Please note that at this stage, this is an equity-only position, we’ll provide a competitive salary and benefits after seed funding. 


Qualifications:


Education:


  • Bachelor,
  • Master, PhD degree in Computer Science, Engineering, or a related field.  


Experience:


  • 4+ years of experience in backend and platform development.  


  • 2+ years of proven experience with AI technologies.  


  • Familiarity
  • with cloud platforms (e.g., AWS, Azure, Google Cloud).  


 


Skills:


  • Strong understanding of large-scale platforms.  


  • Proficiency in writing clean, maintainable, and scalable code.  


  • Familiarity with Agile/Scrum development methodologies.  


  • Strong problem-solving and debugging skills.  


  • Excellent communication and teamwork abilities.  


Preferred

Qualifications:


  • Experience in Generative AI related technologies.  


  • Experience in advanced Machine Learning model training.  


  • Familiarity with machine learning or AI integration in mobile apps.  

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