Middle Python Developer (GenAI) Offline

Job Summary: We are seeking a talented and motivated Middle Python Developer with a strong background in General Artificial Intelligence (GenAI). The ideal candidate will have hands-on experience with large language models and a deep understanding of related AI infrastructure. If you have a passion for developing cutting-edge AI solutions and thrive in a collaborative environment, we would love to hear from you.

Key Responsibilities:
 

• Develop, implement, and maintain Python-based applications focused on GenAI.
• Work closely with large language models such as OpenAI, Anthropic, Google Bard, or similar to build innovative AI solutions.
• Apply Retrieval-Augmented Generation (RAG) concepts and strategies effectively in projects.
• Utilize vector stores to enhance AI workflows and data management.
• Integrate AI models with various APIs and cloud platforms, ensuring seamless operation and efficiency.
• Collaborate with cross-functional teams to understand requirements and deliver robust AI solutions.
• Participate actively in team discussions, ensuring effective communication and collaboration to achieve project goals.

Required Skills and Qualifications:
 

• Python Programming: Proficiency in Python for developing and maintaining software solutions.
• Large Language Models: Experience with LLMs such as OpenAI, Anthropic, Google Bard, or similar.
• Retrieval-Augmented Generation (RAG): Familiarity with RAG concepts and implementation strategies.
• Vector Stores: Hands-on knowledge of vector stores and their application in AI workflows.
• API and Cloud Integration: Experience integrating AI models with APIs and cloud platforms.
• CI/CD Pipelines: Familiarity with continuous integration and continuous deployment (CI/CD) practices.
• Communication Skills: Excellent English communication skills and the ability to work collaboratively in a cross-cultural team environment.

Preferred Qualifications:
 

• Previous experience in an AI-driven startup or technology company.
• Familiarity with other cloud services such as Google Cloud Platform or Azure.
• Understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).