Senior Engineer : AI Applications

About Swayable

Swayable is a fast-growing cloud data product that doubles the impact of advertising by empirically measuring how it changes people's opinions. Our partners include Amazon, Meta, IBM, DoorDash, Airbnb, MIT, Stanford, and multiple Democratic presidential campaigns. We were founded in 2018 by physics PhDs and are backed by leading technology and social impact investors, including Y Combinator. This position is the perfect opportunity to join a fast-moving, high-impact, mission-oriented startup.

Technology stack

Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL.

About the role

Swayable is seeking a Senior AI Applications Developer that blends full stack software development expertise with agentic AI and machine learning experience to advance the state of the art analytics engine that powers our core product. In this role, you will be part of the team that productizes all AI, machine learning, and data analysis at Swayable. You will be responsible for building, maintaining, and continuously improving our AI based applications. You will work with a talented and diverse team of engineers, data scientists, and research staff to build new features and solve novel problems across the spectrum of software engineering, data visualization, and science.

Responsibilities

• Design, build, and maintain LLM / ML systems that power AI-driven features across a large-scale sentiment analysis platform.
• Develop and optimize LLM Agents for specific business use cases, focusing on performance, accuracy, and cost efficiency.
• Build scalable technical infrastructure for growing AI systems, including model training, deployment, and monitoring pipelines.
• Apply ML and AI techniques to big-data and observability problems unique to digital experience analytics.
• Collaborate with cross-functional teams to align LLM outputs and behaviors with product requirements.
• Contribute to and promote software engineering best practices across AI initiatives.
• Promote a positive culture within the team, encourage code quality, drive initiatives, and ensure flawless execution.

Requirements

Preferred qualifications

Salary range : $175k-$250k

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