Software Engineer, Integrations

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 collaborate with cross-functional stakeholders to design and build a scalable, robust NLP backend. This role demands attention to detail, adaptability to change, and a forward-thinking approach. You will strategize, execute, and design systems, ensuring both immediate impact and long-term scalability. Hands-on problem-solving and continuous learning of AI/ML technologies are essential. This position offers ample opportunities to become a hands-on AI/ML engineer.

Requirements

• Have 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
• Have expert level proficiency in Python
• Have strong data structures, algorithms, and OO software design and implementation skills
• Be able to learn and operate across full stack, from ML and NLP, to cloud infrastructure, to UI frontend
• Have experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems
• Have a “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment
• Have a track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems
• Have 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

• Strategize, drive, and execute on the core initiatives connecting output of NLP (Natural Language Processing) and AI models with the Relyance product
• Partner with cross-functional stakeholders to design and build a flexible, powerful, and robust NLP backend that scales the impact of AI for our customers
• Create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side
• 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
• 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
• Be a key member of the team solving its most complex problems with the simple, pragmatic solutions
• Become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc

Preferred Qualifications

• Have experience with ML and NLP in particular
• Have experience with a privacy technology
• Have startup Experience
• Have an advanced technical degree