11 дней назад
Artificial Intelligence Engineer I
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Artificial Intelligence Engineer I (Python/SQL/Generative AI): Building and supporting production-grade AI-powered applications and automated workflows with an accent on Python services, SQL data management, and retrieval-augmented generation. Focus on implementing LLM application components, assembling RAG pipelines, evaluating model outputs, and identifying data or operational risks under guidance.
Location: Kingwood, Texas, United States
Company
provides scalable HR solutions that combine HR services and technology for businesses across the United States.
What you will do
- Implement well-defined components of production-grade AI solutions, including LLM-based application features and supporting services.
- Develop and maintain Python scripts, APIs, and services for AI workflows and integrations.
- Write, optimize, and validate SQL queries and data transformations, while supporting data quality checks and troubleshooting.
- Assist with RAG components, including document ingestion, indexing, retrieval configuration, and prompt assembly.
- Create evaluation datasets and perform basic evaluations of model outputs and system quality.
- Follow testing, documentation, security, and deployment practices and escalate data issues, model failure modes, and operational risks.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience.
- Zero to two years of experience in software engineering, data engineering, analytics engineering, or AI-related development.
- Proficiency in SQL and foundational data management, including data validation, data quality awareness, and structured datasets.
- Proficiency in Python for application development, scripting, and basic API integration.
- Introductory experience with generative AI application development, prompt-based workflows, and model-assisted features.
- Familiarity with Git, branching, code review, issue tracking, and modern development practices.
Nice to have
- Exposure to LLM tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
- Clear communication skills, curiosity, and the ability to incorporate feedback through iterative development.
Culture & Benefits
- Inclusive workplace focused on diversity, belonging, and community impact.
- Flexible work opportunities designed to support work-life balance.
- Continuous learning, mentorship, and ongoing training.
- Paid time off, medical, dental, and vision benefits, health and wellness support, and paid volunteer hours.
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