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AI Engineer
Skills
C#Computer ScienceComplex SystemsData AnalyticsDatabasesEnhanced Data Rates For GSM EvolutionPlays
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Data Science Machine Learning Engineering Mathematics or related field or equivalent practical experience
- Experience integrating large language models via APIs including function tool calling and structured JSON outputs
- Foundation in machine learning and data science concepts including supervised learning model evaluation and statistics
- Working knowledge of Git and collaborative software development workflows including version control branching and code review
- Strong problem solving skills and ability to work effectively on a cross-functional engineering team
- U.S. person able to obtain and maintain a U.S. Government Secret clearance
Nice to have
- Python proficiency
- C# proficiency
- Production assistant interfaces
- Agentic systems experience
- RAG familiarity
- Vector databases
- LLM evaluation testing
- End-to-end AI projects
- APIs and CI/CD
- Secure environments
Day to day
- Design and integrate conversational AI assistant features into software applications from end to end
- Develop tool calling and structured output workflows so assistants reliably use backend capabilities and return useful results
- Build train and evaluate machine learning models for classification prediction and simulation while collaborating with software engineers