We are looking for a senior backend engineer who is truly cross functional possesses strong engineering foundations for developing highly performant services.
The ideal candidate will have a deep understanding of algorithms and Python fundamentals, as well as an understanding of the capabilities and limitations of LLMs.
They will be able to quickly collaborate with their product counterparts to iterate over new, cutting edge features and capabilities and get them to the hands of our users.
Collaborating closely with product teams, they will quickly ideate, develop and deliver innovative features and capabilities to our users.
If you have the skills and experience we are looking for, we encourage you to apply for this exciting opportunity to join our team and make a significant impact on the future of AI.
Role and Responsibilities:
Build the framework used to supercharge our algorithm teams to write scalable, performant algorithms
E2E ownership of production services, databases and infrastructure
Work in fast iteration loops with business/product managers to architect and deliver new products and capabilities
Drive the architectural design, including dependent services and service interactions (APIs & SDKs)
Apply judgment and experience to balance trade-offs between competing interests and optional solutions, considering profiling data to inform decisions on performance and resource utilization
Help with coaching and mentoring team members, and maintaining high standards of software quality within the team.
The ideal candidate will have a deep understanding of algorithms and Python fundamentals, as well as an understanding of the capabilities and limitations of LLMs.
They will be able to quickly collaborate with their product counterparts to iterate over new, cutting edge features and capabilities and get them to the hands of our users.
Collaborating closely with product teams, they will quickly ideate, develop and deliver innovative features and capabilities to our users.
If you have the skills and experience we are looking for, we encourage you to apply for this exciting opportunity to join our team and make a significant impact on the future of AI.
Role and Responsibilities:
Build the framework used to supercharge our algorithm teams to write scalable, performant algorithms
E2E ownership of production services, databases and infrastructure
Work in fast iteration loops with business/product managers to architect and deliver new products and capabilities
Drive the architectural design, including dependent services and service interactions (APIs & SDKs)
Apply judgment and experience to balance trade-offs between competing interests and optional solutions, considering profiling data to inform decisions on performance and resource utilization
Help with coaching and mentoring team members, and maintaining high standards of software quality within the team.
Requirements:
5+ years of programming experience. Proficiency with Python is a huge plus
Experience with building SaaS applications from conception to production
Strong hands-on experience with production systems, continuous integration and deployment and testing best practices
Performance engineering experience to ensure applications are built to scale, run, and perform for varying demands
Able to clearly articulate architecture patterns of complex systems, with business and technical implications, to executive and customer stakeholders
Collaborate with engineers across the organization to champion standard software patterns and the reuse of shared libraries and services
Advantage: Experience working with Large Language Models (LLMs) and cutting-edge AI technologies
Advantage: Experience with the following technologies is a plus: Celery, Databases such as postgres, redis,and pgvector support such as Aurora & alloydb), docker containers, etc
5+ years of programming experience. Proficiency with Python is a huge plus
Experience with building SaaS applications from conception to production
Strong hands-on experience with production systems, continuous integration and deployment and testing best practices
Performance engineering experience to ensure applications are built to scale, run, and perform for varying demands
Able to clearly articulate architecture patterns of complex systems, with business and technical implications, to executive and customer stakeholders
Collaborate with engineers across the organization to champion standard software patterns and the reuse of shared libraries and services
Advantage: Experience working with Large Language Models (LLMs) and cutting-edge AI technologies
Advantage: Experience with the following technologies is a plus: Celery, Databases such as postgres, redis,and pgvector support such as Aurora & alloydb), docker containers, etc
This position is open to all candidates.
