AI Developer _ Vector Database & Generative AI

Primary Skill: Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB, Azure AI Search), Retrieval-

Augmented Generation (RAG), Embedding Models and Semantic Search, Prompt Engineering, Visual Studio

Code (VS Code), API Integration and AI Application Development, Generative AI and Large Language Models (GPT, Llama, Claude, Gemini)

Secondary: Python, JavaScript, TypeScript, AI Governance, Responsible AI, and Security, Git, GitHub, Microsoft 365 Ecosystem

Experience: Minimum 7 years

Bachelor's or master's degree in computer science or related field.

Highly skilled AI Developer with hands-on expertise in Vector Databases, strong knowledge of AI Models and

Large Language Models (LLMs), and proficiency in Visual Studio Code (VS Code). The candidate will design, develop, and optimize AI-powered applications, build Retrieval-Augmented Generation (RAG) solutions, manage vector-based data retrieval systems, and integrate AI models with enterprise applications.

Design and implement vector database solutions for semantic search and AI applications.

Develop RAG-based architectures using LLMs and embedding models.

Integrate AI models with enterprise systems and data sources.

Optimize vector indexing, retrieval performance, and AI response quality.

Collaborate with cross-functional teams to build scalable AI-driven solutions.

Perform testing, monitoring, and continuous improvement of AI applications.
Regards,
Sai Kumar Yeggina
Sr. US Technical Recruiter
Fixity Technologies
Email: | Web:
LinkedIn : linkedin.com/in/sai-kumar-yeggina-85a430241