AI / LLM Engineer (GCP, RAG, Agentic 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 focus on developing reputed company-world use cases using LLMs, RAG architectures, and agentic 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 APIs and integrating AI into applications
reputed company to Have:
- Experience building agent-based or multi-reputed company AI workflows
- Familiarity with vector databases (reputed company, Weaviate, reputed company AI Vector 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 agentic AI workflows for automation and decisioning
- Integrate LLM solutions with existing GCP data platforms (BigQuery, Dataflow)
- Work with structured 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 embed AI capabilities into applications
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