Remote (766) AI Engineer

Description:

• Join a cutting-edge team at Nearsure, working remotely from Latin America to revolutionize payment systems using advanced AI technology.
• As an AI Engineer, you will contribute to the development, deployment, and enhancement of AI-powered solutions within the payment industry.
• Collaborate closely with cross-functional teams including data scientists, software engineers, and product managers to develop and improve scalable AI systems.
• Research, evaluate, and integrate new AI technologies, frameworks, and tools to enhance the efficiency, security, and performance of payment systems.
• Build and deploy AI solutions using a stack that features Python, LLM libraries, AI third-party services, and AWS services.
• Enjoy a work environment that values autonomy, communication, and diversity, with a focus on work-life balance and team bonding activities.

Requirements:

• A Bachelor's Degree in Computer Science, Engineering, or a related field is required.
• A minimum of 5 years of experience working with Python is necessary.
• At least 3 years of experience working with AWS is required.
• A minimum of 2 years of experience with LLM Frameworks such as Langchain or LlamaIndex is essential.
• Experience in Machine Learning (ML) and Natural Processing Languages (NPL) is required.
• Familiarity with applying scalability patterns such as caching, parallelism, routing, asynchrony, and decoupling is necessary.
• An advanced level of English is required for effective communication with US clients.

Benefits:

• Enjoy a competitive USD salary compensation.
• Work 100% remotely, with the option to visit coworking spaces across LATAM to expand your professional network.
• Receive paid time off according to your country’s law without affecting your monthly salary.
• Celebrate your country’s national holidays and take sick or medical leave when needed.
• Benefit from a refundable annual credit to spend on your favorite perks.
• Participate in team-building activities such as coffee breaks, tech talks, and after-work gatherings.
• Take a day off during your birthday week to celebrate with family and friends.