Senior AI Engineer

Summary

Join Nearsure's close-knit LATAM remote team and enjoy a supportive work environment with competitive USD salaries, 100% remote work, paid time off, national holidays, sick leave, a refundable annual credit, team-building activities, and a birthday day off. As a Senior AI Engineer, you will build and scale GenAI systems, focusing on distributed training and inference, and productionize solutions using retrieval and agent-based methods. The role requires strong Python, cloud, and modern AI tooling experience. Nearsure values autonomy, open communication, and respect for diversity. The People Care team provides support, and the Accounts Management team ensures smooth client relationships.

Requirements

• 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

Responsibilities

• 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

Benefits

• Competitive USD salary
• 100% remote work
• Paid time off
• National Holidays celebrated
• Sick leave
• Refundable Annual Credit
• Team-building activities
• Birthday day off