We are looking for a hands-on AI / LLM Engineer to help design and build practical AI-driven solutions within an existing GCP environment. This role will focus on developing real-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 (OpenAI, Vertex AI, or similar)
• Hands-on experience with RAG (Retrieval-Augmented Generation)
• Strong experience with Google Cloud Platform (BigQuery, Dataflow, Vertex AI preferred)
• Experience with AI orchestration tools (LangChain, LlamaIndex, or similar)
• Proficiency in Python (preferred) or backend development
• Experience with APIs and integrating AI into applications
Nice to Have:
• Experience building agent-based or multi-step AI workflows
• Familiarity with vector databases (Pinecone, Weaviate, Vertex 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
• Develop and prototype agentic AI workflows for automation and decisioning
• Integrate LLM solutions with existing GCP data platforms (BigQuery, Dataflow)
• Work with structured and unstructured data to enable intelligent retrieval and insights
• Create, test, and optimize prompt engineering strategies
• Collaborate with backend and data engineering teams to embed AI capabilities into applications