BusPatrol · 4 hours ago
Applied Machine Learning Engineer
Austin, TX
Full-time
Hybrid
Mid LevelBusPatrol is a technology company dedicated to enhancing public safety in student transportation. The Applied Machine Learning Engineer will advance AI-powered analytics capabilities by developing scalable systems and automating workflows, ensuring alignment with business needs.
GovTechLaw EnforcementPublic SafetyTransportation
No H1B
Hiring Manager
Griffin Dreesbach
Responsibilities
Design and develop agentic workflows using frameworks such as LangChain and LangGraph to automate analytical and decision-making processes
Architect and maintain the underlying logic for tool calling, memory management, and context-aware reasoning to ensure reliable, scalable agent performance
Design and develop Retrieval-Augmented Generation (RAG) systems that enrich agent outputs with relevant internal data, managing vector stores, embeddings, and semantic search infrastructure
Implement evaluation and monitoring frameworks to assess agent reliability, task accuracy, and behavior over time, ensuring quality and consistency in production environments
Partner cross-functionally with business stakeholders to understand analytical needs, translate them into AI-driven workflows, and ensure alignment with real-world operational goals
Continuously research and apply emerging best practices in agentic AI, prompt engineering, and LLM frameworks to enhance performance and maintain technical leadership
Build and maintain intuitive user interfaces that enable non-technical stakeholders to interact seamlessly with AI agents and access insights effortlessly
Qualification
Required
Strong technical expertise in AI orchestration
Ability to translate complex business needs into intelligent, automated solutions
Experience in designing and developing agentic workflows using frameworks such as LangChain and LangGraph
Knowledge of architecting and maintaining underlying logic for tool calling, memory management, and context-aware reasoning
Experience in designing and developing Retrieval-Augmented Generation (RAG) systems
Ability to manage vector stores, embeddings, and semantic search infrastructure
Experience in implementing evaluation and monitoring frameworks for agent reliability and task accuracy
Ability to partner cross-functionally with business stakeholders to understand analytical needs
Experience in continuously researching and applying emerging best practices in agentic AI, prompt engineering, and LLM frameworks
Ability to build and maintain intuitive user interfaces for non-technical stakeholders
Benefits
Comprehensive personal time off, including volunteering and birthday days off
An opportunity to help build a company dedicated to children’s safety
The chance to join an innovative and dedicated team, focused on leading edge technology
The occasion to participate in BusPatrol’s culture of safety, learning, and teamwork
Company
BusPatrol
BusPatrol is the nation’s most deployed school bus stop-arm solution, protecting 2M students, reducing violations, and making roads safer.
Founded in 2017
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Weatherford Capital
2024-06-06Private Equity
2024-01-09Private Equity
Leadership Team
Karoon Monfared
CEO
Justin Meyers
President & Chief Innovation Officer
Recent News
Company data provided by crunchbase