• Extensive Experience with LLMs: Proven track record of building and deploying products using models like GPT or similar.
• Extensive Experience with LLMs: Proven track record of building and deploying products using models like GPT or similar.
• Prompt Engineering Expertise: Ability to design, test, and optimize prompts for specific outcomes and use cases.
• Programming Proficiency: Strong experience with Python and frameworks like TensorFlow, PyTorch, or similar.
• API Integration: Expertise in integrating AI solutions with RESTful APIs and third-party platforms.
• Vector Database Knowledge: Hands-on experience with vector databases such as Pinecone, Weaviate, or FAISS for semantic search and embedding retrieval.
• Speech-to-Text and Text-to-Speech Technologies: Familiarity with tools like Whisper, AWS Polly, or Google Speech-to-Text for voice-based solutions.
• Scalability: Experience developing and deploying scalable AI systems in cloud environments (e.g., AWS, GCP, Azure).
• Problem-Solving Skills: Ability to conceptualize and implement AI-driven solutions for complex business challenges.