The opportunity
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
What you'll do
Build the extraction pipeline that turns raw data into structured memory,: tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets.
Own the retrieval path that answers "what do we know about this person?" in: milliseconds, working with embeddings, vector search, and ranking
Contribute to the eval systems that tell us whether memory is actually: getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships.
Diagnose production issues across the ingestion, extraction, and indexing: path using logs, metrics, and traces.
Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria.
Experience building backend services, and a demonstrated ability to pick up: new languages, frameworks, and tools as the problem demands.
What they're looking for
- A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability.
- Experience building or working with evaluation/quality-measurement systems,: such as regression detection or quality metrics, or the desire to learn.
- Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production.
- Fluency with AI-assisted dev tools (e.g. agents for code generation, review,: debugging), applied with deliberate direction and critical thinking.