Summary
Join Curri as an AI Software Engineer and be at the forefront of innovation in construction logistics. You will design and implement AI/ML solutions to enhance our platform, focusing on scalable, production-ready systems. Lead the development of multi-agent AI systems to improve delivery optimization and customer experience. Build and optimize data pipelines, rapidly prototype AI features, and collaborate with cross-functional teams. Take ownership of AI initiatives from conception to production and drive technical decisions. This role requires significant experience in AI/ML, specifically with TypeScript, Node.js, and LLM optimization.
Requirements
- 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
- Proficiency with our core tech stack (React, React Native, Postgres, Redis)
Responsibilities
- 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
Preferred Qualifications
- 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
Benefits
- 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/lifeβthere 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
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