Senior Advanced AI Engineer

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.

6+ Years of experience working with Python software engineering, including async programming and frameworks like FastAPI.

4+ Years of experience working with designing and implementing microservices and distributed systems, ensuring scalability, reliability, and performance.

3+ Years of experience working with deploying AI/ML or GenAI solutions in production, managing observability, orchestration, and cloud environments (AWS/Azure/GCP).

Hands-on experience with LLM frameworks (e.g., LangChain, LangGraph, Hugging Face, OpenAI APIs) and prompt engineering techniques designing prompt validation, schema enforcement, and hallucination mitigation strategies.

Application of security practices for LLMs, including prompt injection prevention and sensitive data protection.

Proven experience with RAG (Retrieval-Augmented Generation) and multi-agent systems, applying coordination or reasoning strategies for AI pipelines.

Hands-on experience optimizing retrieval pipelines (chunking, hybrid/vector search, metadata filtering, and re-ranking).

Implementation of evaluation pipelines to assess model reliability and safety.

Demonstrated ability to reason about architecture trade-offs (latency, accuracy, cost, scalability) and optimize system design accordingly.

Strong understanding of scalability, reliability, and performance optimization in production-grade AI systems.

Experience designing and maintaining AI-driven automation or web-based systems (e.g., Playwright, Selenium) and addressing real scalability challenges.

Solid understanding of AI reliability and observability patterns (monitoring, tracing, retry mechanisms, circuit breakers).

Experience with Docker, Kubernetes, and CI/CD pipelines.

Familiarity with message queues (Kafka, RabbitMQ, or SQS).

Experience coordinating cross-functional teams and aligning AI initiatives with business goals.

Experience deploying and operating in AWS or similar cloud environments.

Familiarity with fine-tuning approaches (LoRA, PEFT).

Familiarity with evaluation platforms (Langfuse, Langsmith, OpenAI Evals, etc).

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