
Advanced AI Solutions Architect
3 days ago
We are seeking a highly skilled Full-Stack AI Engineer to design, develop and deploy advanced AI-driven applications.
Key Responsibilities:
- Design and implement RAG-based AI applications with optimized semantic search.
- Build and manage vector database solutions (Pinecone, Weaviate, Qdrant, FAISS).
- Develop and maintain production-ready ML systems ensuring performance and scalability.
- Apply prompt engineering techniques to fine-tune model interactions.
- Handle document chunking, embedding generation, and retrieval optimization.
- Integrate LangChain/LlamaIndex frameworks for orchestration.
- Implement caching strategies (Redis or similar) for efficiency.
- Collaborate with cross-functional teams to deliver end-to-end AI solutions.
Required Skills and Qualifications:
- Strong experience in RAG implementation.
- Expertise in vector databases (Pinecone, Weaviate, Qdrant, FAISS).
- Proficiency in semantic search optimization.
- Hands-on knowledge of production ML system deployment.
Benefits:
- Opportunity to work on cutting-edge AI projects.
- Chance to collaborate with experienced professionals in the field.
- Professional growth and development opportunities.
Others:
- 3–6 years of experience in AI/ML engineering or full-stack development.
- Strong problem-solving and optimization skills.
- Experience working in fast-paced startup or product environments.
- Knowledge of cloud deployment (AWS, GCP, or Azure) is a plus.
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