Software Engineer, Integrations

Relyance AI; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Relyance AI is seeking a Senior Software Engineer - AI Backend to drive core initiatives connecting NLP and AI models with their product. The ideal candidate will have experience in building complex backends, proficiency in Python, and a collaborative approach to problem-solving in a fast-paced environment. Responsibilities include strategy, execution, and hands-on development while working with cross-functional teams to create impactful AI solutions.

Qualifications

• 7+ years of experience in building complex backends.
• Expert level proficiency in Python.
• Strong skills in data structures, algorithms, and OO design.

Responsibilities

• Create and execute a roadmap for high velocity AI development.
• Architect systems to balance current needs and future scalability.
• Solve complex problems with pragmatic solutions.

Skills

Python

Data Structures

Algorithms

Object-Oriented Design

ML

NLP

Cloud Infrastructure

Full Stack Development

Communication

Education

Advanced Technical Degree

Job description

Senior Software Engineer - AI Backend

As Relyance AI’s Senior Software Engineer, AI Backend, you will strategize, drive, and execute on the core initiatives connecting 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. Given that you are constructing the foundation for a system with complex data that rapidly evolves over time, you need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy enough to address present needs.

As a Senior Software Engineer - AI Backend, your role will include:

• 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
• Learning: in this role, you will have ample opportunities 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, etc.

This role could be a fit for you if you bring:

• 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 “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
• 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

Bonus points for:

• Experience with ML and NLP in particular
• Experience with a privacy technology
• Startup Experience
• An advanced technical degree