TL;DR

Staff Software Engineer (AI Engineering): Co-leading the design and development of software infrastructure, driving technical vision and strategy for scalability, reliability, and performance with an accent on the integration of complex React-based front-ends with backend modular services, ensuring a seamless UI experience. Focus on production-grade, full-stack AI applications, and engineering the entire lifecycle of agentic applications.

Location: Remote - Colombia

Company

Twilio is shaping the future of communications, delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide to craft personalized customer experiences.

What you will do

  • Co-lead the design and development of software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.
  • Drive the development of sophisticated, stateful web applications and oversee the integration of complex React-based front-ends with backend modular services.
  • Serve as a developer leader in distributed systems and data technologies with strong software engineering skills.
  • Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
  • Mentor and elevate a team of high-performing engineers by fostering a culture of technical excellence.
  • Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.
  • Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.
  • Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
  • Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.
  • Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.

Nice to have

  • Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others.
  • Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).

Culture & Benefits

  • Competitive pay and generous time off.
  • Ample parental and wellness leave.
  • Healthcare.
  • Retirement savings program.