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Software & ai engineer

Modena
Nearsure
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Pubblicato il 21 gennaio
Descrizione

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

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 Nortal 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 work across the full lifecycle of modern AI applications, from prototyping and experimentation to production deployment and continuous improvement. You will leverage Python, leading LLM frameworks (LangChain, LlamaIndex), and third-party AI services, while applying strong engineering fundamentals around scalability, reliability, and DevOps practices.

How you'll contribute

Design, develop, and deploy AI-driven capabilities that improve payment system efficiency, security, and performance.
Build LLM-based applications and workflows using Python and frameworks such as LangChain and LlamaIndex.
Develop interactive AI-powered tools and demos using Streamlit or Gradio to accelerate iteration and stakeholder feedback.
Integrate third-party AI services and cloud services (AWS and/or Azure/GCP) into production-grade solutions.
Apply scalability patterns such as caching, parallelism, routing, asynchronous processing, and decoupled architectures.
Implement best practices in prompt engineering and LLM application architecture, ensuring quality and maintainability.
Collaborate with data scientists, software engineers, and product managers to deliver end-to-end AI solutions.
Apply DevOps practices including Git-based version control, infrastructure as code (IaC), and CI/CD pipelines.
Containerize and package applications using Docker to support consistent deployment and scaling.
Research, evaluate, and adopt emerging AI tools, frameworks, and techniques to keep solutions modern and effective.
Contribute to evaluation, monitoring, and observability practices for generative AI systems (where applicable).

This would make you the ideal candidate

Bachelor's Degree in Computer Science, Engineering, or a related field.
5+ Years of experience working with Python development and software engineering (SWE/SOLID principles).
2+ Years of experience working with Cloud infrastructure (AWS, Azure, or GCP).
1+ Years of experience working with LLM frameworks (Langchain and/or LlamaIndex).
Familiarity with architecture for LLM applications and prompt engineering techniques and patterns, including retrieval-based and agent-based approaches, and addressing GenAI-specific challenges such as hallucinations and prompt sensitivity.
Hands-on experience implementing scalability patterns such as caching, parallelism, routing, asynchrony, and decoupling in distributed systems and data-intensive applications.
Real-world experience designing, implementing, and optimizing microservices and working hands-on with relational and NoSQL cloud databases.
Ability to reason about trade-offs in AI system design (e.g., performance vs. cost, accuracy vs. latency) and to stay current with emerging trends and tools in the AI ecosystem.
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 hiring process

1. Let's chat about your experience
2. Impress our recruiters, and you'll move on to a technical interview with our top developers.
3. Nail that, and you'll meet our client - your final step to joining our amazing team

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

By applying to this position, you authorize Nortal to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy.

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