GenAI Solutions Architect

We are seeking a GenAI Solutions Architect to join our growing AI delivery team, responsible for building large language models (LLMs) and deploying them into real-world applications. The role involves designing and optimizing RAG workflows, integrating LLMs with APIs, and collaborating with cross-functional teams to deliver scalable solutions. The position requires a hands-on, execution-focused approach within a fast-paced environment.

Requirements

• Proven experience building and deploying GenAI-powered applications, ideally in enterprise or regulated environments
• Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g., RAG, prompt injection protection, tool use with agents)
• Proficiency in Python and fluency with frameworks and libraries like LangChain, Transformers, Hugging Face, and OpenAI SDKs
• Experience with vector databasessuch as FAISS, Qdrant, or Pinecone
• Familiarity withcloud infrastructure(AWS, GCP, or Azure) and coreMLOps concepts(CI/CD, monitoring, containerization)

Benefits

• Competitive salary and performance bonuses
• Comprehensive health insurance
• Professional development and certification support
• Opportunity to work on cutting-edge AI projects
• International exposure and travel opportunities
• Flexible working arrangements
• Career advancement opportunities