Are you an AI or ML Engineer passionate about transforming industries through cutting-edge technology? Do you want to redefine logistics and transportation with groundbreaking AI-driven solutions? If so, Arnata is the place for you!
Why Arnata?Mission Possible:
At Arnata, we're on a mission to make logistics seamless, efficient, and smarter by bringing AI agents into the logistics industry.
Work with the Best:
Join a team of world-class engineers, innovators, and domain experts who thrive on tackling complex challenges and disrupting the status quo. Your ideas and contributions will shape the future of logistics.
What You'll Do as an AI EngineerBuild AI Agents: Design and develop AI systems capable of handling complex, real-world tasks over multiple channels, including email, phone, and SMS.
Advance AI Reasoning: Improve the decision-making and reasoning capabilities of AI agents to handle complex logistics scenarios effectively.
Integrate and Optimize Models: Architect and fine-tune foundational models, integrating them into scalable solutions that address real-world logistics challenges.
Develop Evaluation Frameworks: Create robust metrics and evaluation frameworks to measure and enhance AI agent performance.
Collaborate Across Teams: Work closely with engineers, product managers, and logistics experts to translate domain-specific challenges into innovative AI solutions.
Educational Background: At least a B.S. in Computer Science, Machine Learning, AI, or a related field. Exceptional candidates from other backgrounds will be considered.
Experience with AI Systems: Proven track record of building and deploying advanced AI systems, particularly for applications requiring reasoning and multi-step processes.
Expertise in Model Optimization: Strong knowledge of fine-tuning and optimizing AI models for real-world performance.
Problem-Solving Skills: Ability to integrate various AI models and tools to solve practical, high-impact problems in logistics.
Technical Skills:
Familiarity with AI frameworks such as TensorFlow, PyTorch, or similar.
Proficiency in Python and experience with cloud-based AI deployments.
Understanding of natural language processing (NLP) and real-time communication systems is a plus.
Have a passion for using AI to transform traditional industries like logistics.
Enjoy architecting AI systems that solve practical, high-impact problems.
Are curious about improving AI reasoning and decision-making in complex domains.
Value collaboration and are eager to translate logistics challenges into technical innovations.
Are excited to measure and achieve meaningful outcomes, ensuring your AI solutions deliver real-world value.
💡 Innovation Hub: Be at the forefront of real-world AI and logistics technology innovation.
🏆 Impact: Your work will directly redefine global freight management.
📈 Growth: Join a YC-backed startup early and grow with us as we scale.
🤝 Culture: Experience a collaborative, entrepreneurial environment where bold ideas thrive.
🌍 Mission: Be part of a team making logistics smarter, faster, and more efficient.
About the interviewMeeting with Elim (Head of Operations) - 30 min
Technical interview with Sergey (system design, problem-solving) - 2 hrs
Meeting with Georgy (Founder) - 30 min
Reference check + offer.
Skills Required
- Bachelor of Science in Computer Science, Machine Learning, AI, or a related field
- Proven experience building and deploying advanced AI systems involving reasoning and multi-step processes
- Strong knowledge of fine-tuning and optimizing AI models for real-world performance
- Ability to integrate AI models and tools to solve practical logistics problems
- Familiarity with AI frameworks such as TensorFlow or PyTorch
- Proficiency in Python
- Experience with cloud-based AI deployments
- Understanding of natural language processing and real-time communication systems
What We Do
Arnata develops AI agents—autonomous digital workers—for the physical economy, with a focus on logistics, trucking, and manufacturing. Its agents automate end-to-end operations around the clock, using configurable tools and standard operating procedures. Customers can choose pre-built agents or create custom ones, and connect them with transportation-management systems, load boards, and phone systems to make freight operations more seamless, efficient, and intelligent.
