Other
Salary: Competitive Salary
Job Type: Full time
Experience: Senior Level
OWOW
Lead Ai Engineer (Remote)
Lead Ai Engineer | OWOW | India
Generative AI Foundation:
- Design, develop, and maintain highly friendly and customized smart...
Lead Ai Engineer | OWOW | India
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 of Thrive360AI.
- Use modern 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.
- Lean 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:
- Optimize applications 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:
- 8+ 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.
Industry
- Software Development
Employment Type
F
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