Senior Software Engineer, AI Backend
Relyance AI
πRemote - India
Please let Relyance AI know you found this job on JobsCollider. Thanks! π
Job highlights
Summary
Join our team as a Senior Software Engineer - AI Backend, where you will strategize, drive, and execute on the core initiatives connecting output of NLP and AI models with the Relyance product. As a key member of the team, you will solve complex problems with simple solutions, learn practical use of AI technologies, and have ample opportunities for growth.
Requirements
- 7+ years of experience with a track record of being a key member of teams building complex backends, especially backends that deal 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 full stack, from ML and NLP, to cloud infrastructure, to UI frontend
- Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems
- A βget stuff doneβ attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment
- A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems
- Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers
Responsibilities
- Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side
- Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams
- Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers
- Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions
Preferred Qualifications
- Experience with ML and NLP in particular
- Experience with a privacy technology
- Startup Experience
- An advanced technical degree
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