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 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:
ā¢ Experience with AI/ML and LLMs (OpenAI, Vertex AI, or similar)
ā¢ Hands-on experience with RAG (Retrieval-Augmented Generation)
ā¢ Strong experience with Google Cloud Platform (BigQuery, Dataflow, Vertex AI preferred)
ā¢ Experience with AI orchestration tools (LangChain, LlamaIndex, or similar)
ā¢ Proficiency in Python (preferred) or backend development
ā¢ Experience with APIs and integrating AI into applications
Nice to Have:
ā¢ Experience building agent-based or multi-step AI workflows
ā¢ Familiarity with vector databases (Pinecone, Weaviate, Vertex AI Vector Search)
ā¢ Background in backend development (Java/Spring Boot)
ā¢ Experience working in data engineering environments
Key Responsibilities:
ā¢ Design and build AI/LLM-based solutions, including RAG pipelines
ā¢ Develop and prototype agentic AI workflows for automation and decisioning
ā¢ Integrate LLM solutions with existing GCP data platforms (BigQuery, Dataflow)
ā¢ Work with structured and unstructured data to enable intelligent retrieval and insights
ā¢ Create, test, and optimize prompt engineering strategies
ā¢ Collaborate with backend and data engineering teams to embed AI capabilities into applications
Must Haves:
ā¢ Experience with AI/ML and LLMs (OpenAI, Vertex AI, or similar)
ā¢ Hands-on experience with RAG (Retrieval-Augmented Generation)
ā¢ Strong experience with Google Cloud Platform (BigQuery, Dataflow, Vertex AI preferred)
ā¢ Experience with AI orchestration tools (LangChain, LlamaIndex, or similar)
ā¢ Proficiency in Python (preferred) or backend development
ā¢ Experience with APIs and integrating AI into applications
Nice to Have:
ā¢ Experience building agent-based or multi-step AI workflows
ā¢ Familiarity with vector databases (Pinecone, Weaviate, Vertex AI Vector Search)
ā¢ Background in backend development (Java/Spring Boot)
ā¢ Experience working in data engineering environments
Key Responsibilities:
ā¢ Design and build AI/LLM-based solutions, including RAG pipelines
ā¢ Develop and prototype agentic AI workflows for automation and decisioning
ā¢ Integrate LLM solutions with existing GCP data platforms (BigQuery, Dataflow)
ā¢ Work with structured and unstructured data to enable intelligent retrieval and insights
ā¢ Create, test, and optimize prompt engineering strategies
ā¢ Collaborate with backend and data engineering teams to embed AI capabilities into applications