(1264) Senior Advanced AI Engineer
NearsureAbout the role
Explore the Nearsure experience!
🌐 Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.
🍃 Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values.
⚖️Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins.
Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best.
Ready to grow with us? 🚀
Here’s what we offer you by joining us!
✨ Competitive USD salary 💲 – We value your skills and contributions!
🌐 100% remote work 🏢 – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!
💼 Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!
🎉 National Holidays celebrated 🌴 – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.
😷 Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.
💸 Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance!
🤝 Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community.
🥳 Birthday day off 🎂 – Enjoy an extra day off during your birthday week to celebrate in style with friends and family!
About the project
As a Senior Advanced AI Engineer, you will lead end-to-end architectures across retrieval (RAG), agents, and evaluation; drive reliability, cost, and security; and partner with Product and Engineering to deliver measurable impact at scale. Experience balancing rapid experimentation with operational excellence in cloud environments is essential.
How you'll contribute
✅ Design, develop, and maintain AI-powered and distributed systems.
✅ Deploy, operate, and monitor AI/ML and GenAI models in production environments.
✅ Contribute to system architecture decisions ensuring scalability, performance, and reliability.
✅ Implement best practices for security, observability, and evaluation of AI systems.
✅ Collaborate with cross-functional teams to deliver production-grade AI solutions.
✅ Optimize retrieval and inference pipelines to improve efficiency and accuracy.
✅ Stay current with emerging AI frameworks, tools, and methodologies to enhance solution design.
This would make you the ideal candidate
✨ Bachelor's Degree in Computer Science, Engineering, or a related field.
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