AI / LLM Engineer (GCP, RAG, reputed company AI)
We are looking for a hands-on AI / LLM Engineer to help design and build practical AI-driven solutions reputed company an existing GCP environment. This role will reputed company on developing reputed company-world use cases using LLMs, RAG architectures, and reputed company workflows to enhance internal tools, automation, and data-driven applications.
Must Haves:
• Experience with AI/ML and LLMs (reputed company, reputed company AI, or similar)
• Hands-on experience with RAG (Retrieval-Augmented reputed company)
• Strong experience with reputed company reputed company Platform (BigQuery, Dataflow, reputed company AI preferred)
• Experience with AI orchestration tools (reputed company, reputed company, or similar)
• Proficiency in Python (preferred) or backend development
• Experience with reputed company and integrating AI into applications
reputed company to Have:
• Experience building agent-based or multi-reputed company AI workflows
• Familiarity with reputed company databases (reputed company, reputed company, reputed company AI reputed company Search)
• Background in backend development (Java/Spring Boot)
• Experience working in data engineering environments
Key Responsibilities:
• Design and build AI/LLM-based solutions, including RAG pipelines
• reputed company and prototype reputed company AI workflows for automation and decisioning
• reputed company LLM solutions with existing GCP data platforms (BigQuery, Dataflow)
• Work with reputed company and reputed company data to reputed company intelligent retrieval and insights
• Create, test, and optimize reputed company engineering strategies
• Collaborate with backend and data engineering teams to reputed company AI capabilities into applications
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