GenAI Engineer (RAG) - Gurugram

Key Responsibilities:

- Architect and Develop GPT Models:** Design, build, and optimize custom GPT models, including architecture and fine-tuning, to meet the specific needs of the legal domain.

- Cloud Architecture: Develop and manage cloud-based infrastructure with a deep understanding of cloud services and architecture to deploy and scale AI solutions efficiently.

- Integration and Deployment: Oversee the deployment of GenAI models and ensure seamless integration with the KonProz platform.

- Vector DB Utilization: Work with Vector DBs to enhance data retrieval, storage, and interaction with AI models.

- Performance Optimization: Monitor and optimize the performance of AI models and cloud services to ensure reliability and efficiency.

- Innovation and Collaboration: Collaborate with cross-functional teams to drive innovation and integrate AI capabilities into the product offering.

- Technical Leadership: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and growth within the team.

- Stay Current: Keep abreast of the latest advancements in AI and cloud technologies and apply new insights to improve our solutions.

Qualifications:

- 2-5 years of experience in developing and deploying GPT models, with a strong understanding of creating custom models and their architectures.

- Deep knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud architecture for scalable AI solutions.

- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).

- Hands-on experience with Vector DBs and cloud-based data pipelines.

- Strong problem-solving skills and a proactive approach to learning and development.

- Excellent communication skills and the ability to work effectively in a collaborative team environment.

- Ability to adapt to a startup pace and thrive in a dynamic work setting.