Senior Software Engineer - AI Backend

Position Overview

• Location Type: [Not Specified]
• Employment Type: [Not Specified]
• Job Type: Senior Software Engineer
• Salary: [Not Specified]

As a Senior Software Engineer - AI Backend at Relyance AI, you will be responsible for strategizing, driving, and executing on the core initiatives connecting the output of NLP (Natural Language Processing) and AI models with the Relyance product. You will 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. You’ll need to be detail-oriented, adaptable to constant change, and able to balance speed with long-term vision.

Requirements

• Experience: 7+ years of experience building complex backends, especially those dealing with complex data.
• Proficiency: Expert level proficiency in Python.
• Skills: Strong data structures, algorithms, and Object-Oriented Software Design and Implementation skills.
• Adaptability: Ability to learn and operate across the full stack, from ML/NLP to cloud infrastructure to UI frontend.
• Strategic Thinking: Experience as a creative and strategic thinker with a mindset to build powerful, robust, and flexible systems.
• Communication: Skills in communicating with clear and concise language, active listening, and empathy.

Responsibilities

• Strategy: 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 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 systems fit together; architect systems to balance scrappiness with a forward-thinking outlook; continuously look for opportunities to automate and build tools to lower operational barriers.
• Hands-on Development: Be a key member of the team solving its most complex problems with simple, pragmatic solutions.
• Learning & Development: Opportunity to 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.

Application Instructions

• [Not Specified]

Company Information

• Company: Relyance AI
• [Other company information is not provided in the job description.]