AI Engineer

Job description

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 AI Engineer
, you will build and scale GenAI systems, focusing on distributed training and inference.

You will help productionize solutions with retrieval and agent-based methods.

Strong Python, cloud, and modern AI tooling experience required.

How your day-to-day work will look like

Design and implement scalable GenAI infrastructure with a focus on distributed training and inference optimization.

Develop production-grade code using modern software engineering practices (SWE, SOLID, design patterns).

Collaborate with research and engineering teams to productionize GenAI solutions using retrieval and agent-based approaches.

Drive product and project planning for AI initiatives, ensuring timely delivery and alignment with business goals.

Deploy AI systems to cloud environments, ensuring performance, reliability, and maintainability.

Continuously evaluate and integrate emerging GenAI frameworks, compiler technologies, and AI trends.

This would make you the ideal candidate

Bachelor's Degree in Computer Science, Engineering, or a related field.

5+ Years of experience working in Python development and software engineering (SWE/SOLID principles), including real-world experience designing, implementing, and optimizing microservices and working hands-on with relational and NoSQL databases in production environments.

3+ Years of experience designing, deploying, and maintaining AI/ML systems in production environments, including deployment strategies, observability practices such as logging, tracing, and metrics (e.g., Prometheus, Grafana, OpenTelemetry), and use of cloud providers (AWS, Azure, GCP).

2+ Years of experience working with GenAI frameworks and techniques, including retrieval-based and agent-based approaches, and addressing GenAI-specific challenges such as hallucinations and prompt sensitivity.

1+ Years of experience in project management for AI initiatives, including planning, execution, stakeholder coordination, and timely delivery of technical milestones.

1+ Years of experience in product management or working closely with Product Owners, including defining product vision, prioritizing AI features, and aligning technical solutions with business goals.

Proven 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/ML ecosystem.

Proven experience actively coding AI solutions, regularly adopting new AI tools (e.g., LangChain, Hugging Face, OpenAI APIs), and consistently contributing to the AI/ML community (e.g., publications, open-source projects, technical blogs or talks).

Familiarity with version control systems (e.g., Git) and CI/CD pipelines.

Hands-on experience deploying containerized AI applications using Docker and orchestrating services with Kubernetes.

Experience evaluating the performance, reliability, and security of GenAI systems.

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 Nearsure, 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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