At ASAPP, we are focused on building AI solutions that address complex customer service challenges. Our technology is designed to automate and optimize large-scale customer interactions, helping businesses improve efficiency, reduce costs, and maintain high customer satisfaction. We are looking for individuals passionate about AI and technology, who want to contribute to solving real-world problems in customer service operations. You will join a team combining advanced AI with deep industry expertise to create tools that enhance contact center capacity and improve the customer experience. We aim to empower businesses with secure, scalable solutions that meet their specific needs, while fostering a culture of innovation and continuous improvement. ASAPP’s AI Engineering team is seeking an enterprising, talented and curious software engineer. This role will be focused on helping build out critical components of our Generative Agent product, and manage the team leading this effort. Candidates will provide technical leadership for junior engineers who will handle tasks such as building data processing and fine-tuning pipelines for LLMs, designing feedback loops with our product team, architecting backend systems and user experiences, triaging production issues and monitoring quality of production systems. Candidates will work closely with project managers to prioritize tasks and communicate with other teams, as well as with Product Managers and other stakeholders to ideate and prioritize work. What you'll do

Develop product features that can improve performance via feedback loops

Design pipelines for fine-tuning LLMs

Design and implement end-to-end product capabilities, including frontend and backend components

Drive a/b tests to iterate and improve product features and ML capabilities continuously

Work with our Platform, SRE and Data Infrastructure teams to support production needs for ML services

Follow advancements in AI and ML, and participate in discussions about them with the ML and research teams

What you'll need

Strong architectural skills, with proven experience designing complex software systems

Strong engineering skills, with at least an intermediate level skill in Python

Experience implementing technical solutions, tackling tough engineering problems to help build our products. 

Experience building and deploying production ML models to solve real-world problems

A Bachelor’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience 

Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others

What we'd like to see

Experience working on AWS and familiarity with CI / CD tools 

Experience with Athena, Kafka and a strong background in databases

Experience managing software infrastructure for engineering teams 

Knowledge of additional languages such as SQL, Go, Javascript, or Typescript are not necessary but will help you work in cross-functional teams

Benefits

Competitive compensation

Stock options

Prudent Life Insurance

Onsite lunch & dinner stipend

Connectivity (mobile phone & internet) stipend

Wellness perks

Mac equipment

Learning & development stipend

Parental leave, including 6 weeks paternity leave