About Glia
Glia is the #1 Banking AI platform, empowering community and regional financial institutions to create efficiencies, accelerate loan growth, drive deposits, and deliver experiences that win against megabanks and fintechs. Glia's Banking AI Operating System is a central intelligence layer on top of existing tech stacks, activating an AI workforce of specialized agents that draw from banking data, interaction history, and integrated systems of record.
Meet Team Vector
Team Vector builds the AI that talks directly to the customers of banks and credit unions. Our vision is to build the world’s most intuitive and trusted customer-facing banking AI agents. Our mission is to build and scale a fully agentic voice AI framework that drives high-value customer interactions.
Responsibilities
- Design, build, and ship the core of our agentic voice AI framework, from conversation orchestration to tool calling and runtime architecture.
- Build and evolve the harness controls (guardrails, grounding, policy checks, evaluation) that make our LLM agents trustworthy enough for banking.
- Work on latency end to end: profile, measure, and optimize every stage of the real-time voice pipeline.
- Help unify our runtime architecture and remove configuration friction so new banking use cases can launch quickly.
- Keep our existing production systems stable and reliable while we build what comes next.
- Work with product, design, and engineering teams across Europe and Vancouver to turn ambiguous problems into shipped outcomes.
- Use AI-assisted development tools daily and help set the standards for how we review and verify agent-generated code.
We offer the opportunity to work on cutting-edge Voice AI with very low latency requirements and complex LLM architecture under real-world regulatory constraints. You will have real impact at scale, working with a global team across Europe and Vancouver, collaborating with experienced engineers who care about craft.
Technical Skills
- AI Systems Experience: Proven experience building production AI systems, including LLM architecture, prompting, context management, tool use, agentic flows, retrieval, and grounding. Real-time or voice AI experience is a strong plus.
- Tech Stack: Proficiency in Python, Elixir, TypeScript, and React. Experience with AWS, PostgreSQL, DynamoDB, Kafka, Kubernetes, Docker, and Terraform.
- Architecture & Technical Judgment: Ability to design complex components, make sound tradeoffs, and spot risk early.
Soft Skills & Experience
- Trusted, Fast Delivery: A track record of reliable outcomes and owning quality.
- Applied AI Fluency: Active use of tools like Claude to design, build, and review code.
- Proactive & Adaptable: Ability to identify problems, drive solutions, and thrive in a fast-paced environment.
- Communication: Ability to communicate clearly and collaborate across continents, with a requirement to overlap at least 2 hours a day with Pacific Time (9:00–11:00 AM PT).
- Leadership: Ability to set direction and unblock others; prior tech lead, team lead, or mentorship experience is ideal.
