AI / Gen AI Engineer

About this role

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Sr AI / Gen AI Engineer
Location ::
Remote
with Travel
Duration ::
Long Term
Job Description:
We are looking for a hands-on AI Engineer to build agentic AI solutions on Google Cloud, with strong focus on OCR, document processing, structured data extraction, and vector-based retrieval systems (RAG).


Key Responsibilities

• Build AI solutions using Vertex AI and Gemini
• Design OCR and document extraction pipelines using Google Document AI
• Implement RAG architectures with Vector Databases
• Build and manage embeddings, indexing, and retrieval pipelines
• Develop agentic workflows (multi-step reasoning, tool integrations)
• Build backend APIs using Python (FastAPI)
• Deploy services on Cloud Run
• Work with Google Cloud Storage and BigQuery
• Ensure performance, scalability, and cost optimization

Required Skills (Must-Have)

• Strong experience with LLMs / Generative AI (Gemini preferred)
• Hands-on with Vector Databases
• Experience with Vertex AI Vector Search / Pinecone / Weaviate / similar
• Experience building RAG pipelines end-to-end
• Hands-on with OCR / Document AI / document extraction
• Strong Python + FastAPI development experience
• Experience working on Google Cloud Platform-native services

Nice to Have

• Multi-modal AI (text + image understanding)
• Prompt engineering, evaluation, and tuning
• Event-driven architectures using Cloud Functions
• What We’re Looking For
• Strong focus on production-grade AI systems (not just demos)
• Deep understanding of retrieval + embeddings + chunking strategies
• Ability to design scalable, Google Cloud Platform-native architectures end-to-end

Best Regards
Abdul Samad