> Markdown version of [/jobs/ext/4231053-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4231053-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Lorven Technologies Inc - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, Cloud Database, Information Engineering, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), Machine Learning, OpenAI, Search Technologies, Software Engineering, SQL Databases, Enterprise Search, Pinecone, Azure Data Factory, Retrieval-Augmented Generation, Large Language Models, Snowflake, Prompt Engineering, Apache Spark, Generative AI, Pyspark, Information Technology, AWS Glue, FAISS, Functional Programming, Evaluation of Large Language Models, GPT, Data Pipelines, OpenSearch, Databricks - **Published:** October 9, 2026 - **Apply:** https://www.dice.com/job-detail/2d3e5de1-58b6-4ad3-be53-2e9443b6b233 ## About the Role * Bachelors or Any Degree with Experience in Information Technology or the relevant Field. * You should have 7+ years of experience in Software Engineering, Data Engineering, AI/ML Engineering, or related fields. * Strong hands-on experience with Python programming. * Strong expertise in SQL, data modeling, data transformation, and optimization. * Good Experience designing and developing ETL/ELT data pipelines. * Must have a Hands-on experience with PySpark / Apache Spark for large-scale data processing. * Strong Experience working with Databricks and/or Snowflake. * Strong experience with AWS or Azure cloud platforms. * Good Experience with cloud data services such as S3, AWS Glue, Lambda, Azure Data Factory, or ADLS. * Hands-on experience with Generative AI and Large Language Models (LLMs). * Strong Experience building RAG (Retrieval-Augmented Generation) applications. * Strong understanding of Prompt Engineering, embeddings, vector search, and LLM evaluation. * Experience with Azure OpenAI, OpenAI APIs, AWS Bedrock, or similar GenAI platforms. * Experience with LangChain, LangGraph, or similar LLM frameworks. * Experience working with Vector Databases such as Pinecone, FAISS, OpenSearch, or Azure AI Search.