About Swayable
Swayable measures how content changes people's opinions. We apply a variety of sophisticated machine learning classification, regression, causal AI, and GenAI-based analyses to survey-based data we collect. Customers receive high-level, actionable data about different group's responses through an ever-expanding portfolio of web-based visualizations, reports, and natural language interfaces. Our partners include Amazon, Meta, IBM, DoorDash, Airbnb, MIT, Stanford, and multiple Democratic presidential campaigns. This position is the perfect opportunity to join a fast-moving, high-impact, mission-oriented startup.
Technology stack
Swayable uses Python (langgraph, numpy, scipy, scikit-learn, pandas, celery, flask), JavaScript (Vue.js, Node.js), MongoDB, GraphQL, and a variety of LLM providers.
About the role
Swayable is seeking a Senior AI Applications Engineer that blends full stack software development expertise with agentic/multi-node workflow architectures. 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 creating and building our portfolio of LLM-based classification, reporting, and analysis 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
- You have 2+ years of professional experience building LLM/GenAI/ based agentic applications.
- You have 5+ years of professional experience in full stack software development.
- You have expertise in the Python stack, object oriented and test-driven development, and machine learning and AI frameworks.
- You have experience with frontend technologies: Javascript, Node.js
- You have excellent problem solving skills and attention to detail.
- You have expertise in architecting, maintaining, and optimizing distributed, parallel computing systems.
- You keep up with the constantly evolving toolset for ML and AI Ops.
- You are knowledgeable about software architecture and can design scalable, performant solutions.
- You value code quality and write maintainable, testable code.
Preferred qualifications
- You have a thorough knowledge of the Linux operating system.
- You have experience with Celery, and MongoDB.
- You believe in the scientific method and use data to drive decisions.
- You can give and receive informed, actionable feedback on technical and non-technical subjects.
- You are experienced at mentoring junior engineers.
- You are a strong communicator, especially in text. You can write documentation and discuss the tradeoffs of different implementations.
- You have an advanced degree (MSc or Ph.D.) in STEM.
Salary range: $175k-$250k