Senior Engineer - Applied AI - LATAM

Front
Remote, ArgentinaPosted 30 March 2026

Job Description

Senior Engineer - Applied AI - LATAM Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 https://builtin.com/awards/san-francisco/2025/best-midsize-places-to-work?utm_campaign=bptw-2025&utm_content=article&utm_medium=website&utm_source=editorial, Top Places to Work by USA Today 2025 https://topworkplaces.com/company/front/, Y Combinator's list of Top Companies in 2023 https://www.ycombinator.com/topcompanies, #4 on Fortune’s Best Workplaces in the Bay Area™ https://www.greatplacetowork.com/best-workplaces/bay-area/2022?category=small-and-medium ,Inc. Magazine's 2022 Best Workplaces list https://www.inc.com/best-workplaces/2022, and Forbes Best Startup Employers 2022 List https://www.forbes.com/lists/americas-best-startup-employers/?sh=661411d52ad7. AI is transforming customer support and, with over 12 years of experience building customer operations solutions, Front is in a unique position to shape this transformation. The AI innovation team at Front leverages AI and ML methodologies to build functionality across the entire breadth of the product. Our workflow automations, agent assistance and operational insights have only scratched the surface, and user engagement is already extremely promising. This role would have the opportunity to get in at the ground floor and significantly influence the direction of the product as we scale. Have a look at what the AI team has been building recently https://www.linkedin.com/feed/update/urn:li:activity:7350924632733986816/! What will you be doing? • Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product features and user experiences, focusing on applications like text generation, classification, RAG systems, etc. • Collaborate with product teams to identify opportunities for applying generative AI to solve user needs and improve the platform's capabilities. • Lead the exploration and implementation of state-of-the-art generative AI techniques, ensuring Front stays ahead of technological trends. • Inform on AI model training and deployment infrastructure, ensuring scalability and efficiency. • Dive deep into real-world data, ensuring high-quality model training and iteration • Monitor and evaluate the performance of AI applications, making adjustments and improvements to ensure they meet our high standards. • Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies where appropriate. What skills and experience do you need? • 5+ years of experience in software development • Demonstrable expertise in developing production applications using LLMs and Generative AI models, and familiarity with their underlying technologies. • Strong experience with prompting techniques, RAG pipelines, evaluation mechanisms, and fine-tuning LLMs preferred. • High learning agility - you’re excited when you encounter a problem you haven’t seen before. • Strong product and user-centric mindset • Bias for impact, and pragmatism to deliver real user value through AI. • Strong communication skills that illustrate a clear, structured thought process and ability to explain complex technical concepts to non experts. What we offer ... (truncated, view full listing at source)
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