AI Engineer (Data Guardrails & LLM Ingestion Pipelines)

About Us Founded in 2018, AWISEE is a global digital marketing agency specializing in SEO, Digital PR, and KOL & Influencer Marketing. We help brands enter new markets or expand within existing ones, combining short-term visibility strategies and long-term growth solutions to drive impactful, measurable results. Global Reach & Industry Expertise Operating across Europe, North America, Asia, and the Middle East, AWISEE tailors strategies to each market for cultural fit and compliance. We specialize in Tech & SaaS, Fintech, E-commerce, Crypto, iGaming, Travel - driving impactful growth worldwide. Job Description This is a remote position. About the Role We are looking for a highly skilled AI Engineer to design and build robust data ingestion, cleaning, validation, and LLM enhancement pipelines that power our AI applications. You will transform raw, unstructured data into high-quality, AI-ready datasets while implementing guardrails that ensure accuracy, consistency, and reliability. Key Responsibilities · Design and develop scalable data ingestion pipelines for structured and unstructured data. · Build automated data cleaning, normalization, and preprocessing workflows. · Develop AI-powered enrichment pipelines using LLMs (OpenAI, Claude, Gemini, etc.). · Implement data quality validation and AI guardrails. · Develop prompt engineering workflows for data transformation. · Build document processing pipelines for PDFs, Word documents, CSVs, websites, and APIs. · Develop Retrieval-Augmented Generation (RAG) pipelines. · Create evaluation frameworks for LLM quality and accuracy. · Build ETL/ELT workflows for AI-ready datasets. · Integrate vector databases for semantic search. · Monitor pipeline performance, cost, latency, and data quality. · Collaborate with cross-functional teams to deliver production AI systems. Required Technical Skills Programming · Python (Expert) · SQL · Git AI & LLMs · OpenAI API · Anthropic Claude API · Google Gemini API · Prompt Engineering · Function Calling · Structured Outputs AI Frameworks · LangChain · LlamaIndex · DSPy (Preferred) · PydanticAI (Nice to Have) Data Engineering · Pandas · Polars · ETL/ELT Pipelines · Apache Airflow (Preferred) · Data Validation Frameworks Vector Databases · Pinecone · Weaviate · Qdrant · ChromaDB · FAISS Cloud & Infrastructure · Docker · Kubernetes (Preferred) · AWS / Azure / GCP · Linux Databases · PostgreSQL · MongoDB · Redis Requirements Preferred Qualifications · Experience building production-grade AI systems. · Strong understanding of RAG architectures. · Experience implementing AI guardrails and hallucination mitigation. · Experience with OCR and document parsing. · Experience with embedding models and semantic search. · Knowledge of data governance and security best practices. Success Metrics · Build scalable ingestion pipelines. · Deliver automated data cleaning and LLM enhancement workflows. · Implement AI guardrails to improve output quality. · Develop evaluation pipelines for LLM performance. · Contribute to a production-ready AI platform.