Senior Software Engineer - AI Backend

Summary

Join Relyance AI as a Senior Software Engineer, AI Backend, and play a pivotal role in connecting NLP and AI models with our product. You will design and build a robust, scalable NLP backend, collaborating with cross-functional stakeholders. This role demands strategic thinking, execution, and hands-on problem-solving. You will create and execute a roadmap for a high-velocity AI development system, prioritizing customer needs while building for the future. The ideal candidate possesses extensive backend development experience, expertise in Python, and a strong understanding of data structures and algorithms. This position offers ample opportunities for professional growth in AI/ML.

Requirements

• 7+ years of experience building complex backends, especially those dealing with complex data
• Expert-level proficiency in Python
• Strong data structures, algorithms, and OO software design and implementation skills
• Ability to learn and operate across the full stack, from ML and NLP to cloud infrastructure to UI frontend
• Experience as a creative and strategic thinker with a mindset to build powerful, robust, and flexible systems
• A "get stuff done" attitude and enjoyment of hands-on work and collaboration in a fast-paced environment
• A track record of successfully influencing product direction through a strong perspective
• Skills in communicating clearly and concisely, active listening, empathy, and a respectful, collaborative approach

Responsibilities

• Strategize, drive, and execute on core initiatives connecting NLP and AI model outputs with the Relyance product
• Partner with cross-functional stakeholders to design and build a flexible, powerful, and robust NLP backend
• Create and execute a roadmap for a system enabling high-velocity AI development while creating product stability
• Make customer-centric prioritization decisions to balance immediate impact and long-term bets
• Partner with the team manager to drive alignment and collaboration with other engineering teams
• Deeply understand how systems fit together; architect systems to balance current needs with a forward-thinking outlook
• Continuously look for opportunities to automate and build tools to lower operational barriers
• Be a key member of the team solving its most complex problems with simple, pragmatic solutions
• Become a hands-on AI/ML engineer by learning practical use of AI technologies

Preferred Qualifications

• Experience with ML and NLP
• Experience with privacy technology
• Startup experience
• An advanced technical degree

Benefits

• Unreasonably hospitable and data-driven culture
• Empowered team members solving problems proactively
• Trust and freedom to find creative solutions
• Shared purpose and recognition
• Fair and equitable compensation practices
• Data-driven pay practices to ensure competitive offerings