Senior Software Engineer – AI Applications
| Company | Vanilla |
|---|---|
| Location | Remote in USA, Bellevue, WA, USA |
| Salary | $180000 – $200000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience.
- 8+ 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, ChatGPT or similar software.
- Strong knowledge of SQL (Structured Query Language) for querying and manipulating data.
- Experience in data normalization, data cleansing, and data validation techniques.
- Deep 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 API design and implementation for 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. Vanilla is unable to provide visa sponsorship at this time.
Responsibilities
- 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. Your software engineer skills will come into play here as you’ll 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 drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform.
- 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.
- 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.
- 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.
- You are able to design and implement schemas, optimize queries, and manage database performance.
- You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders.
- You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects.
Preferred Qualifications
- You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications.
- You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture.
- You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment.
- You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology.