Lead AI Software Engineer
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Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer, Software Architect
Job Description & How to Apply Below
Lead the architecture, design, and delivery of scalable, secure, production-grade AI platforms and applications, including solutions using generative AI, LLMs, and intelligent document processing. Mentor engineers and data scientists, establish engineering standards, and ensure AI systems are tested, monitored, reliable, secure, compliant, and operationally effective.
RequirementsRequires a bachelor's degree in Engineering, Data Science, or a related field, at least 8 years of software engineering experience, and demonstrated technical leadership delivering large-scale production software. Candidates should have strong backend development skills, experience with distributed systems and cloud-native applications, and the ability to lead technical initiatives from architecture through deployment; production AI experience and cloud-platform expertise are preferred.
KeySkills
- Technical Leadership
- AI Architecture
- Generative AI
- Large Language Models
- Python
- Java
- Backend Development
- Distributed Systems
- Cloud-Native Applications
- Machine Learning
- AI Orchestration
- MLOps
- Data Engineering
- API Development
- Microservices
- Responsible AI
- Medical Insurance
- Dental Insurance
- Vision Insurance
- 401(k) Retirement Savings Plan
- Paid Time Off
- Company Holidays
- Personal Holidays
- Paid Parental Leave
- Paid Caregiver Leave
- Short-Term Disability Insurance
- Long-Term Disability Insurance
- Life Insurance
- Bonus Incentive Plan
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