Description:

Firework is seeking a talented Backend Engineer to join their growing engineering team in a remote capacity within the United States.
The role involves building scalable AI application infrastructure and services using Python.
Responsibilities include designing and developing REST APIs and GraphQL for data and machine learning services.
The engineer will take full stack ownership by consistently writing production-ready and testable code.
The position requires API and Python runtime latency optimization, utilizing Python, SQL, NoSQL, and third-party APIs.
The engineer will create optimal designs adhering to architectural best practices, considering scalability, reliability, and performance.
The role emphasizes contributing to a culture of innovation, collaboration, and continuous improvement.
The engineer will take feedback from code reviews and apply changes to meet standards, as well as conduct code reviews to guide engineering best practices.

Requirements:

A BS or MS in Computer Science or any relevant STEM major is required.
Candidates should have production experience with Big Data, NoSQL, and RAG.
A minimum of 5 years of experience developing highly scalable production-grade backend services using Python is necessary; Elixir experience is a plus but not required.
Experience with distributed processing frameworks such as Hadoop, Spark, or Beam, or working on a backend system that interacts with such frameworks is highly desirable.
Candidates should be able to work autonomously and be excited by new platforms, big data, and machine learning technologies.
A passion for writing clean and testable code is essential.
Production experience with generative AI and machine learning applications is required.

The approximate annual pay range for this role is USD $180,000, with potential stock options.
Compensation may vary based on factors such as work location, candidate skills and experience, market demands, and internal parity.
Firework encourages candidates to apply even if they do not meet all qualifications, as they value potential and diverse backgrounds.
The company promotes an inclusive environment and prohibits discrimination and harassment of any kind, ensuring equal employment opportunities for all.