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At Curri, AI Software Engineers are at the forefront of innovation, responsible for developing and implementing intelligent solutions that revolutionize construction logistics. They work across multiple levels of our tech stack, with a particular focus on AI/ML implementations that enhance our delivery optimization and customer experience. Our engineers are passionate about data-driven solutions, technically competent in both traditional and cutting-edge AI technologies, and deeply attuned to product and stakeholder needs. We engage in advanced optimizations, including AI-powered route generation, predictive analytics, and intelligent automation systems.
What you will do:
Design and implement AI/ML solutions that enhance our logistics platform, focusing on scalable, production-ready systems that deliver immediate value
Lead the development of multi-agent AI systems that improve delivery optimization and customer experience
Build and optimize data pipelines that power our AI systems, ensuring efficient token usage and system performance
Rapidly prototype and iterate on AI-driven features, maintaining a balance between innovation and practical implementation
Collaborate with cross-functional teams to identify opportunities for AI implementation and drive product improvements
Take ownership of AI initiatives from conception to production, including monitoring, optimization, and iteration
Drive technical decisions around AI architecture, tooling, and best practices
What you need to have:
4+ years of software engineering experience, with demonstrated expertise in AI/ML implementations
Strong foundation in TypeScript and Node.js, with experience or willingness to work with AI frameworks in the TypeScript ecosystem (e.g., LangChain, LangGraph)
Practical experience with multi-agent AI systems and agentic AI frameworks
Proven track record of deploying production-ready LLM code and optimizing token usage at scale
Experience with AI/ML visibility tooling and monitoring systems
Strong data analysis skills and experience working with large-scale datasets
Expertise in prompt engineering, RAG implementations, and LLM chain design
Ability to write scalable, yet scrappy code that balances innovation with practical business needs
Demonstrated bias towards action and rapid iteration
Low-ego, product-centric mindset with a focus on delivering customer value
Experience working in fast-paced startup environments
Experience building and maintaining AI agent orchestration systems
Track record of implementing AI features that directly improved business metrics
Experience with advanced LLM optimization techniques and custom model fine-tuning
Experience integrating multiple AI providers and managing fallbacks
Familiarity with AI testing and evaluation frameworks
What is in it for you?
Opportunity to shape the future of construction logistics through cutting-edge AI technology
Work on challenging problems at the intersection of AI and real-world logistics
Significant autonomy to drive AI innovation and implementation strategy
Remote-friendly environment with a flexible schedule that emphasizes outcomes over process
We believe there is no work/life—there is only life, and we want your time at Curri to be life-giving and foster the best version of you
Competitive salary, equity compensation grant, and comprehensive benefits including health, dental, vision, and 401K
Who are we?
We are Curri and our mission is to be the way the world delivers construction and industrial supplies. Curri provides on-demand, last-mile logistics for construction and adjacent industries with our nationwide fleet of cars, trucks, and flatbeds. Curri was founded in 2018 and was a part of the YC S19 Batch. Employees work out of our office in Ventura, CA, but the majority of our fast-growing start-up operates remotely, with over 100 employees spread across the United States. We're solving a massive, global problem of inefficiency in the construction industry through innovative technology and AI-driven solutions. We imagine a world of efficient construction sites resulting in a net win for the entire world. Find out more at curri.com.
Required profile
Experience
Level of experience:Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.