AI Engineer

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November 10

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Level Access

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Compliance • Education • Cybersecurity

Level Access is a unified software platform that provides a comprehensive solution for achieving and maintaining digital accessibility. With a combination of automated scanning, manual testing, legal guidance, and training, Level Access supports businesses in complying with accessibility standards such as WCAG and ADA. Their services are tailored for various sectors, including education, financial services, and public administration, ensuring that digital products are accessible to everyone.

501 - 1000 employees

Founded 1997

📋 Compliance

📚 Education

🔒 Cybersecurity

💰 Series A on 2017-04

📋 Description

• Clean, organize, and preprocess large, complex datasets, identify relevant data sources, and manage data quality to support AI capabilities within our products. • Design, develop, and optimize the architecture, implement scalable LLM-based services and appropriate ML algorithms and tools, and continuously improve model performance and efficiency. • Develop components, services, and modules for data classification, information extraction, and interpretation, and build optimized data pipelines. • Integrate and monitor LLM-based services into products with attention to latency, costs, security, safety, and reliability. Implement automated testing and gather feedback to improve prompting and results. • Use statistical analysis to interpret test results and understand model performance, particularly its problem-solving capabilities. • Collaborate with AI Engineers, software engineers, and product managers to align AI/ML solutions with business objectives and optimally communicate technical concepts and project updates to non-technical stakeholders. • Stay updated on the latest AI/ML developments, research, and tools, and evaluate emerging methodologies to implement innovative solutions. • Advocate for security, privacy, and ethics in AI/ML outputs, and participate in code reviews to ensure software engineering best practices.

🎯 Requirements

• Bachelor's degree in Data Science, Mathematics, Computer Science, or a related field. • 3+ years of experience with ML frameworks such as PyTorch, Dask, Spark, or TensorFlow. • Proficiency in programming with R, Python, SQL, or similar languages. • Experience with frameworks LangChain, LangFuse, LangGraph or similar. • Experience with LLM lifecycle management such as versioning, monitoring, and feedback loops. • Experience with Large Language Models (LLMs), Big Data, and NoSQL databases and building systems that utilize LLMs for AI • Experience using AI services from AWS, OpenAI, etc. • Strong knowledge of Deep Learning concepts. • Understanding of probability, statistics, and machine learning concepts such as precision, recall, optimization, hyperparameter tuning, overfitting, and interpretability. • Shown ability to apply standard implementations of machine learning algorithms effectively. • Understanding of system design to avoid bottlenecks and ensure scalability with increasing data volumes. • Self-motivated and able to work independently in a dynamic environment.

🏖️ Benefits

• Competitive benefits package including bonus opportunities • Unlimited vacation/FTO