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# AI Engineer

- **Company:** System Soft
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Big Data, Business Software, Spreadsheets, Software as a Service, Cloud Computing, Databases, System Configuration, Information Engineering, Data Stores, Data Visualization, Python (Programming Language), Knowledge Management, Machine Learning, Metadata, Power BI, Cloud Services, Search Technologies, Software Engineering, SQL Databases, Tableau (Software), Enterprise Search, Software Organization, Large Language Models, Prompt Engineering, Model Validation, Generative AI, AI Platforms, Machine Learning Operations, Api Design, Software Version Control
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/3923c567-b42b-49fa-9741-319cb8f29980

## About the Role

* 3+ years of software engineering, AI engineering, machine learning, data engineering, or related experience
 * Strong proficiency in Python.
 * Experience building AI-enabled applications using large language models (LLMs).
 * Experience working with APIs, cloud services, and application integration.
 * Familiarity with retrieval-augmented generation (RAG), semantic search, enterprise search, vector databases, or similar technologies
 * Understanding of prompt engineering and grounding techniques.
 * Experience processing structured and unstructured content, including documents, spreadsheets, reports, websites, PDFs, and databases.
 * Experience designing systems that leverage metadata, search, filtering, and knowledge retrieval.
 * Understanding of software development best practices including source control, testing, documentation, and deployment
 * Familiarity with SQL and database principles., * Experience with Azure AI, Azure OpenAI, AWS AI services, Claude, OpenAI, or comparable AI platforms.
 * Experience developing AI assistants, copilots, chat applications, or intelligent search solutions.
 * Familiarity with machine learning workflows and model evaluation techniques
 * Experience with document processing, knowledge management, or enterprise search platforms.
 * Experience with Power BI, Tableau, or other visualization tools.
 * Familiarity with cloud application architecture and secure enterprise environments.
 * Experience working with large-scale data integration projects.

## Description

* Designing and developing AI-enabled applications and intelligent search solutions.
 * Building and maintaining document ingestion, content processing, and knowledge management workflows.
 * Implementing retrieval, search, filtering, and ranking capabilities
 * Developing prompts, orchestration logic, and response frameworks for AI applications.
 * Building metadata models and information structures that improve retrieval quality.
 * Configuring AI systems to provide transparent, grounded, and reliable responses.
 * Developing integrations between AI services, data repositories, cloud platforms, and business applications.
 * Testing and validating AI outputs for quality, consistency, relevance, and usability.
 * Troubleshooting retrieval, search, prompt, and performance issues


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