Explore the Nortal 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!
About the project:
At Nortal, we know great talent doesn’t wait for job openings. That’s why we’re building a community of passionate professionals for future opportunities.
These proactive searches align with the profiles our trusted clients seek regularly. Join our "Future Talent" network to be among the first considered when the right opportunity arises.
With over 160 new hires every year, we are constantly expanding our team with passionate and skilled professionals who want to make an impact.
As a Senior Applied AI Engineer (Forward Deployed, Azure & LLM Systems), you will sit at the intersection of cutting-edge AI research and real-world industrial applications. You won't just be building models in a vacuum; you will be the primary technical architect and execution lead responsible for deploying sophisticated LLM-based systems directly into complex production environments.
How your day-to-day work will look like:
✅ Design and optimize VLM prompts for document classification, text extraction, and rule validation tasks.
✅ Build and run evaluation pipelines to measure accuracy, cost, and latency across model configurations.
✅ Benchmark new models (Azure OpenAI, others) and recommend upgrades based on quality/cost tradeoffs.
✅ Implement structured output extraction from LLMs using function calling, JSON mode, and Pydantic-based parsing.
✅ Maintain and extend a Python service layer (FastAPI, queue-based workers) and a Next.js frontend.
✅ Build scalable, fault-tolerant AI pipelines using Azure components such as App Services, Blob Storage, and queues.
✅ Monitor, debug, and resolve production issues across AI and application layers.
This would make you the ideal candidate:
✨ Bachelor's Degree in Computer Science, Engineering, or a related field.
✨ 5+ Years building production systems with Python & Backend Engineering, focusing on FastAPI, async processing, and APIs.
✨ 2+ Years working with LLMs in real-world use cases, including Applied AI, Azure OpenAI, prompting, and structured outputs.
✨ Hands-on experience building and operating Cloud & Distributed Systems, with a focus on Azure, storage, queues, and scalability.
✨ Experience measuring and improving model performance through Evaluation & Optimization, including metrics, benchmarking, and cost/latency tradeoffs.
✨ Working knowledge of Frontend development with Next.js and React to support end-to-end projects.
✨ Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.
What to expect from our Talent Connection process:
🎯 At Nortal, we’re dedicated to solving complex business challenges through cutting-edge technology, and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team!
We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.
Let’s work together to shape the future of technology!
🧑💻 Apply now!
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