Senior / Staff Applied Research Software Engineer - Emerging Tech

Twilio•Boulder, CO

10d•$141,520 - $251,600•Remote

About The Position

Welcome to Twilio Forward, the incubation lab where we push boundaries, unlock next-era growth, and turn the once-unimagined into reality. As part of our Emerging Tech team, you will pioneer Horizon-3 initiatives that fundamentally redefine how humanity interacts with artificial intelligence. From launching Ola, the world’s first agent-native communication channel, to engineering the ground-breaking Agent-to-Human (A2H) protocol, we are actively building the control room for the autonomous future. If you are a builder driven to disrupt the status quo, reimagine what’s possible, and engineer what comes next, your journey starts here. This full-stack engineer position is needed to contribute hands-on technical expertise, collaborate on rapid prototyping, and develop innovative solutions as part of Twilio’s incubation team. As a Senior Applied Software Research Engineer, you’ll build hands-on skills with new technologies, collaborate with passionate engineers, and contribute to delivering solutions that help shape Twilio’s future offerings. This is a growth role, ideal for someone eager to learn and make a measurable difference in a fast-paced, entrepreneurial environment. As a Staff Applied Software Research Engineer, you’ll work closely with cross-functional partners to design and build new product ideas, leveraging modern technologies and your problem-solving abilities. This is a high-impact opportunity for growth and learning, helping Twilio experiment and stay ahead in the evolving tech landscape.

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
3+ years of professional software development experience, ideally full stack development.
Proficiency in at least one programming language (such as JavaScript, Python, or Java).
Experience working with front-end (React, Angular) and/or back-end (Node.js, Springboot) technologies.
Understanding of database fundamentals (SQL or NoSQL).
Eagerness to learn, collaborate, and solve problems.
Effective written and verbal communication skills.
Have an agentic coding operating model that is effective at leveraging skills/ MCP/ LLMs to be able to do ai-assisted coding
Ability to deal with ambiguity and solve the problems vs. need constant support to unblock execution
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
5+ years of professional full stack software development experience.
Proficiency across modern programming languages such as JavaScript, Python, or Java.
Experience building applications using front-end (React, Angular) and/or back-end (Node.js, Springboot) frameworks.
Solid understanding of database technologies (SQL or NoSQL).
Strong problem-solving skills and a collaborative mindset.
Effective communication skills for technical discussions.
Next-Gen Workflow: 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.

Nice To Haves

Exposure to AI or machine learning principles or projects.
Knowledge of cloud-based platforms (AWS, Azure) and 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.

Responsibilities

Develop, test, and deploy code for prototypes and new product features.
Collaborate with team members to solve technical challenges and improve solution design.
Participate in code reviews, documentation, and team knowledge sharing.
Experiment with modern tools, frameworks, and emerging technologies.
Adapt to evolving requirements and provide input on process improvements.
Design, develop, and implement prototypes and production-ready solutions.
Collaborate with team members to experiment with AI, machine learning, and emerging technologies.
Participate in code reviews and contribute to continuous improvement of engineering best practices.
Communicate progress and technical concepts to stakeholders and peers.
Adapt quickly to feedback and changing requirements in a fast-paced environment.