AI Engineer

📋 Description

• Perform assigned technical and analytic tasks using established methods and tools, documents
• Support development of AI-enabled applications and fix straightforward defects under close
• Build and maintain components of LLM-based solutions, including API integrations, prompt and
• Clean, transform, and analyze data with Python, SQL, and data libraries; build simple ETL steps and
• Execute assigned test cases, including unit tests and basic retrieval or model evaluations, and
• Serve models and AI services through RESTAPIs and containers, prepare simple configuration changes

🎯 Requirements

• Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, or relevant STEM
• Problem decomposition, clear communication, reading documentation, collaborating through code
• Python and Software Fundamentals: Core language data types, control flow, functions, OOP
• Databases: SQL (essential): SELECT, WHERE, JOINs, GROUP BY, HAVING, subqueries, CTEs, window
• Modern GenAI Skills: LLM APIs: Anthropic, OpenAI, structured outputs, tool/function calling; RAG
• MLOps and Deployment: Model serving: FastAPI, Docker; Experiment tracking: MLflow, Weights &amp

🎁 Benefits

• Paid time off (vacation, holidays, sick)
• Medical/dental/vision insurance
• 401(k)
• Short-term incentive programs
• Equal Opportunity Employer/Veterans/Disabled