Bandit Running is hiring an Applied AI Engineer in Brooklyn, NY to build production-ready AI systems that connect models to real operational workflows. This hands-on position partners with the Head of Data & Technology to move work from problem framing and prototyping through production deployment, spanning models, data, APIs, application logic, and decision systems.
In this role, you will design agent and decisioning infrastructure, automate growth and marketing workflows, and develop personalization that turns customer and behavioral signals into relevant actions. You will also help shape where applied AI can materially increase team capacity, improve decision quality, and reduce time between ideas, experiments, and learning.
Responsibilities
- Build production AI systems end-to-end, including agents, internal applications, workflows, and decision systems that connect models with Bandit’s data and operational tools.
- Design agent architecture and infrastructure, covering tool use, permissions, context management, memory, triggers, scheduling, observability, and human-in-the-loop controls.
- Automate growth and marketing workflows by evaluating performance, making recommendations, generating or iterating creative, and accelerating experimentation across paid media, CRM, and site merchandising.
- Develop personalization and decisioning systems that translate customer, product, membership, and behavioral signals into relevant actions and experiences.
- Contribute to Bandit’s applied AI strategy by identifying where AI can increase capacity, improve decision quality, or shorten the idea-to-learning cycle.
Requirements
- 4+ years of software engineering experience, with a record of shipping production systems.
- 1+ years deeply engaged in applied LLM engineering, including actively following, testing, and adopting techniques from frontier model labs and the broader AI engineering community.
- Hands-on experience building agents and LLM applications using tool calling, structured outputs, context/retrieval systems, evaluations, and multi-step workflows.
- Strong skills across Python and TypeScript, APIs, SQL/databases, cloud infrastructure, and application deployment.
- Strong product and business judgment, including the ability to take an ambiguous problem, define what should be built, and ship quickly while maintaining reliability where it matters.
- Comfort working broadly and independently across engineering, data, growth, creative, and operational problems.
Technologies
- Python, TypeScript
- APIs
- SQL, databases
- Cloud infrastructure, application deployment
- LLM engineering
- Tool calling, structured outputs
- Context/retrieval systems
- Evaluations, multi-step workflows
Benefits
- Competitive salary + equity compensation
- 401k match
- Top tier medical insurance/benefits
- Rocket-ship level momentum with a career-defining opportunity at-hand
How success is measured
Success in this role means building systems that improve how Bandit operates by codifying strong judgment, enabling better decisions, accelerating experimentation, and shortening the loop between learning and action.
Salary
$150,000 - $170,000 per year + equity
