Tech Lead driving AI R&D and end-to-end delivery of production-ready prototypes using full-stack development, LLMs, and emerging technologies. Requires 10+ years experience and strong autonomy.
228k – 335k
Remote10+ YOEML Engineering
About the role
Responsibilities
Design, develop, and own the end-to-end implementation of high-stakes prototypes and robust, production-ready solutions.
Drive the technical direction and collaborate with cross-functional teams to experiment with, validate, and integrate AI, machine learning, and frontier technologies.
Establish governance for code reviews and pioneer continuous improvements to engineering standards, mentoring peers to elevate overall code quality.
Articulate complex technical concepts, architectural decisions, and project velocity clearly to executive stakeholders and engineering peers.
Navigate ambiguity and rapidly pivot technical strategies in response to shifting requirements, user feedback, and fast-paced market dynamics.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
10+ years of professional full-stack software development experience.
Proficiency across modern programming languages such as JavaScript, Python, Java or Go.
Experience building applications using front-end (React, Angular) and/or back-end (Node.js, Springboot) frameworks.
Solid understanding of database technologies, including both SQL and NoSQL paradigms.
Mastery of an agentic coding operating model; highly effective at leveraging advanced dev tools, Model Context Protocol (MCP), and LLMs to drastically accelerate AI-assisted development.
Strong problem-solving skills and a collaborative mindset with effective communication skills for technical discussions.
Exceptional ability to navigate intense ambiguity, self-unblock execution, and ruthlessly solve ambiguous problems without requiring constant structural support.
Strong communication and mentorship skills, with a collaborative mindset suited for high-bandwidth technical discussions.
Nice-to-Haves
Hands on exposure to LLM, AI, or machine learning principles or projects.
Deep knowledge of cloud-based platforms (AWS, Azure) and the design principles of distributed systems.
Ability to ramp up on new technologies, solution against well defined problems and to be iterative about building.
Passion for innovation and exploring emerging technologies.
Experience working in remote or globally distributed teams.
Contributions to open source or tech community projects.
Compensation & Benefits
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan.
All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
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