Software Engineer - AI Applications

• Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI
• You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates
• You will take ownership in constructing services to ingest results
• You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights
• You can build tooling to support model training, evaluation, inference serving, monitoring and alerting
• You want to use the latest ML frameworks and open source tools to develop new model training pipelines
• Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust
• You have experience building microservices and understand the tradeoffs of the approach
• Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data
• Database management: You are able to design and implement schemas, optimize queries, and manage database performance
• Collaboration: You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience
• 4+ years relevant work experience
• Proficiency in, at least, one modern programming language such as Python or Javascript
• Experience integrating with backend services, and APIs
• Experience with OpenAI, Anthropic, or similar for both chat and API interfaces
• Understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation
• Experience with tuning AI performance and scalability of AI infrastructure
• Experience with API design and accessing data from external sources
• Ability to effectively articulate technical challenges and solutions
• Deal well with ambiguous/undefined problems
• ability to think abstractly
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future

Bonus experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph, or experience with RAG for tuning LLMs

• Flexible paid time off policy and 10 company-wide paid holidays
• Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents
• Medical, dental, and vision benefits coverage for employees and their families
• 401K eligibility after one month of employment
• Free estate planning documents
• Budget for learning & development and home office setup
• Paid parking or transit for hybrid and in office employees