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You won’t just be wrapping APIs; you will be engineering the entire lifecycle of agentic applications.</p>\n<p>As a Staff Software Engineer within Enterprise AI, you are the technical heartbeat of our products.</p>\n<p>Your role is to bridge the gap between bleeding-edge AI research and robust, full-stack production systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.</li>\n<li>Drive the development of sophisticated, stateful web applications.</li>\n<li>Serve as developer leader in distributed systems, data technologies, with strong software engineering skills.</li>\n<li>Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.</li>\n<li>Mentor and elevate a team of high-performing engineers.</li>\n<li>Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.</li>\n<li>Continuously adapt to the evolving JavaScript ecosystem to maximize engineering efficiency.</li>\n<li>Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Engineering, or a related field.</li>\n<li>8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.</li>\n<li>Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.</li>\n<li>Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.</li>\n<li>Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.</li>\n<li>Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.</li>\n<li>Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams.</li>\n<li>Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.</li>\n</ul>\n<p>Desired:</p>\n<ul>\n<li>Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.</li>\n<li>Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).</li>\n</ul>\n<p>What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows:</p>\n<ul>\n<li>$160,320 - $200,400</li>\n<li>Target Bonus Percentage 15% (When Applicable)</li>\n</ul>\n<p>The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.</p>\n<p>Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn&#39;t what you&#39;re looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. 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Your role is to bridge the gap between bleeding-edge AI research and robust, full-stack production systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.</li>\n<li>Drive the development of sophisticated, stateful web applications.</li>\n<li>Serve as developer leader in distributed systems, data technologies, with strong software engineering skills.</li>\n<li>Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.</li>\n<li>Mentor and elevate a team of high-performing engineers.</li>\n<li>Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Engineering, or a related field.</li>\n<li>8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.</li>\n<li>Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.</li>\n<li>Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.</li>\n<li>Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.</li>\n<li>Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.</li>\n<li>Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams.</li>\n<li>Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.</li>\n</ul>\n<p>Desired:</p>\n<ul>\n<li>Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.</li>\n<li>Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).</li>\n</ul>\n<p>Travel:</p>\n<p>This role will be remote and based in Colombia. 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