Senior Software Engineer

Our team is tasked with an extremely challenging mission - how can we get AI models to perform at production grade standards? Alongside the typical scale and latency requirements faced in production systems, we must also deal with the fact that the AI models themselves are unpredictable and random.

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.
  
  

• 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.