Senior Software Engineer (Voyager)

What You’ll Be Doing

AI Infrastructure: Build and deploy secure, reusable LLM systems that enable differentiated product experiences, and own them across the full lifecycle, from design through deployment and monitoring

R&D and Proof-of-Concepts: Lead exploratory initiatives that evaluate and validate emerging technologies, producing a clear recommendation on whether and how Relay should adopt them

Developer Enablement: Give teams across Relay the tooling, patterns, and guidance they need to ship AI workflows quickly and safely

Consultative Partnership: Work alongside product teams as the AI expert in the room, helping them make good technical decisions rather than building everything for them

Innovation & Continuous Improvement: Proactively identify areas for technical, process, and product improvement, helping the team raise the bar and influencing technical direction and long-term strategy

Who You Are

You have 3+ years of full-stack software engineering experience; agentic AI experience is a plus

You have led the development of significant components or features, delivering them successfully with minimal oversight

You can move between exploration and production, knowing when a rough spike is the right answer and when something needs to be built to last

You have strong judgment about emerging technology, and can evaluate what's genuinely useful versus what's currently loud

You mentor junior engineers, sharing expertise and fostering the growth and skill development of the entire team

You proactively drive enhancements and lead initiatives to enhance code quality, optimize performance, and streamline development processes

You’re a lifelong learner, curious about new frameworks, best practices, and emerging technologies

You thrive in fast-paced, dynamic environments and are comfortable navigating ambiguity and change

You’re a collaborative team player, eager to pitch in, ask questions, and provide and receive feedback

You take ownership end-to-end, solving problems creatively and proactively, while keeping the customer and business impact front-of-mind

It’s a bonus (but not required) if you

Have worked in startups or high-growth tech companies

Have hands-on experience building with LLMs, including self-hosting or serving open models, retrieval systems, evaluation, or agentic workflows

Have built platform or shared services used by other engineering teams

Have experience with JavaScript - we primarily use TypeScript, React, and Node.js

Have working knowledge of AWS services (ECS, S3, RDS, Dynamo, Lambda) and continuous deployment pipelines