Senior AI Engineer – Developer Products
Skills
- Strong Python programming skills.
- Hands-on experience with NLP and LLM models.
- Proven experience deploying and maintaining ML services in production.
- Understanding of network protocols, API design, and developer tooling.
- Experience with relational and non-relational databases.
- LLMops/MLops experience for developer-facing products.
- Experience building or supporting developer platforms, APIs, or sandbox environments.
Responsibilities
- Design, build, and enhance AI services and APIs for developer sandbox environments using LLMs and custom ML models.
- Develop efficient, testable Python code to support rapid prototyping and experimentation.
- Implement validation, monitoring, and observability for ML services within sandbox environments.
- Manage full development lifecycle from ideation and architecture to deployment and continuous improvement.
- Collaborate with product, engineering, and developer relations teams to deliver developer-centric solutions.
- Optimize implementations for performance, scalability, and usability.
- Identify and resolve bottlenecks, bugs, and technical challenges in an iterative environment.
- Conduct code reviews and mentor team members to maintain high engineering standards.
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.
Benefits
- Stock options for all employees.
- Generous benefits package.
- Vibrant and dynamic work environment.
- Support for work-life balance and self-care.
Average salary estimate
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