Senior AI/AGI Engineer

Qualification Requirements:

- Master's in AI/Machine Learning/Computer Science is mandatory, Ph.D is preferred 

- 3-5 years advanced AI research and implementation experience

- Proven expertise in Generative AI applications

- Deep understanding of healthcare technology domain

Technical Expertise:

Specialized Skills:

- Large Language Model (LLM) development,vertical LLM development is preferred 

- Generative AI for therapeutic interactions

- Natural Language Processing

- Machine Learning algorithmic design

- AI ethical framework implementation

- Healthcare data privacy compliance

- Multimodal AI system architecture

Core Responsibilities:

AI Innovation:

- Design intelligent therapist matching algorithms

- Develop generative AI conversational agents

- Create predictive mental health intervention models

- Build emotion recognition and tone modulation systems

- Implement personalized therapeutic experience frameworks

Technical Development:

- Advanced AI model training and optimization

- Developing proprietary AI therapy interaction protocols

- Creating secure, HIPAA-compliant AI systems

- Designing scalable AI infrastructure

- Integrating AI with AR/VR therapeutic experiences

Research & Development:

- Continuous AI model improvement

- Exploring cutting-edge AGI applications in mental healthcare

- Developing ethical AI guidelines

- Publishing research in peer-reviewed journals

- Presenting at international AI/healthcare conferences

Compensation Structure:

Post-Funding Compensation:

- Base Salary: upto ₹20 Lakhs per annum

- Performance Bonus: 20-25%

- Generous ESOP allocation

- Research and development funding

Technical Stack Proficiency:

- Python, TensorFlow, PyTorch

- OpenAI/Anthropic API integration

- Cloud AI platforms (AWS/GCP)

- Natural Language Processing libraries

- Advanced machine learning frameworks

- AR/VR development integration

Certification/Additional Qualifications:

- Advanced AI certifications

- Healthcare technology specializations

- Ethics in AI implementation

- Data privacy and security credentials

Ideal Candidate Profile:

- Published research in AI/healthcare intersection

- Demonstrated innovation in generative AI

- Strong academic and industrial research background

- Passion for mental health technology transformation

- Excellent communication and collaboration skills

Key Evaluation Criteria:

- Innovative AI solution design

- Ethical AI implementation

- Research publication record

- Practical healthcare technology applications