Ai Engineer

Summary

Join Rev.io as an AI Engineer and play a crucial role in driving our AI initiatives. Reporting to the Engineering Manager, you will develop, implement, and optimize AI solutions using LLMs and related technologies. You will design AI-driven solutions, engineer prompts, manage vector databases, and collaborate with cross-functional teams. This role requires expertise in prompt engineering, LLM fine-tuning, and experience with specific technologies like Azure OpenAI and Semantic Kernel. Rev.io offers a comprehensive benefits package including generous HSA contributions, 401k matching, unlimited PTO, paid parental leave, and more.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent experience
• 3+ years of experience working with Azure OpenAI, LLMs, and AI solutions
• Expertise in prompt engineering and large language model fine-tuning
• Strong programming skills in C# or Python, with a focus on AI model integration
• Proven experience with vector databases, indexing, and search technologies
• Hands-on experience with Semantic Kernel or LangChain for AI application development
• Familiarity with AI deployment pipelines and cloud-based solutions, specifically Azure
• Strong understanding of AI model performance, optimization, and scalability
• Excellent problem-solving skills with a demonstrated ability to innovate and troubleshoot complex issues
• Strong communication skills, with the ability to translate technical information to non-technical audiences

Responsibilities

• Develop, implement, and optimize solutions utilizing large language models (LLMs) such as Azure OpenAI, Cognitive Services, and related technologies
• Design and build AI-driven solutions utilizing Semantic Kernel or LangChain for business-specific use cases
• Engineer and fine-tune AI prompts for optimal performance, accuracy, and relevance
• Create and manage vector databases, indexes, and search technologies to support AI applications
• Collaborate with cross-functional teams to integrate AI model solutions into existing systems and workflows
• Conduct performance tuning, debugging, and optimization of AI systems for scalability and reliability
• Provide training and guidance on AI technologies and best practices to non-technical teams
• Collaborate with data engineers to design and manage data structures to support AI-driven solutions
• Ensure the security, sustainability, and maintainability of AI platforms and solutions
• Stay current with AI technologies, trends, and advancements to bring innovative solutions to the team
• Translate complex AI concepts for non-technical stakeholders to facilitate business adoption

Benefits

• Generous HSA employer contribution
• 401k with generous company match and immediate vesting
• Unlimited PTO
• Paid Parental Leave
• Company paid for life and disability insurance
• Monthly tech reimbursement
• Monthly fitness reimbursement
• Education and development stipend
• Time off to volunteer at the organization of your choice, as well as company-level volunteer opportunities
• Clear and documented career path for your position
• True open-door policy with opportunities to give feedback to leadership on a continual basis through 1:1 sessions multiple times per year