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. These banking-trained agents automate workflows across voice and digital–from front office to back office–resulting in decreased operational costs and the Universal Banker model.
Meet Team Vector
Team Vector builds the AI that talks directly to the customers of banks and credit unions. When someone calls their credit union to check a balance, dispute a charge, or ask about a loan, it’s our agent on the other end of the line.
- Our vision: To build the world’s most intuitive and trusted customer-facing banking AI agents
- Our mission: To build and scale a fully agentic voice AI framework that drives high-value customer interactions. We unify our runtime architecture, remove configuration friction, and keep our existing systems fully stable so customers never see a disruption.
What You’ll Do
- 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.
Why This Work Is Interesting
- Voice AI with very low latency: People notice every pause in a conversation. We aim for the best voice AI experience available, which means working to shave milliseconds off every hop: speech recognition, LLM inference, tool calls, and speech synthesis.
- LLM architecture under real constraints: Banking is one of the most regulated places to put an LLM in front of a customer. Every response has to be safe, accurate, compliant, and on-brand, and it still has to feel natural.
- Real impact at scale: The agents you build will handle real conversations for real people across hundreds of financial institutions.
- A global team: Team Vector works across Europe and Vancouver, Canada, and collaborates closely with teams on both continents. You’ll work with experienced engineers who care about craft and move quickly.
What We’re Looking For
- AI Systems Experience: A core requirement. You have built production AI systems before and you understand LLM architecture well: prompting and context management, tool use and agentic flows, retrieval and grounding, evaluation, and the tradeoffs between latency, cost, and quality. Real-time or voice AI experience is a strong plus, and so is experience with agent SDKs.
- Architecture & Technical Judgment: You own the design of complex components, make sound tradeoffs, and spot risk early.
- Excellent: Trusted, Fast Delivery: You ship fast without cutting corners. You have a track record of reliable outcomes, de-risking projects, and owning quality.
- Applied AI Fluency: You actively use tools like Claude to design, build, review, and ship.
- Proactive: You see problems before they’re assigned to you and act on them.
- Adaptable: You do well in a fast-paced environment where priorities, tools, and the AI landscape itself change quickly.
- Curious: Learning Velocity: You’re hungry to learn. You run at unfamiliar problems, pick up new tools and practices quickly, and share what you learn with the people around you.
- Cross-Continental Collaboration: You communicate clearly in writing and in person, and you do well on a distributed team. You can reliably overlap at least 2 hours a day with Pacific Time (9:00–11:00 AM PT).
- Leadership Instincts: You set direction, unblock people, and raise the bar without micromanaging. Ideally, you bring prior tech lead, team lead, or mentorship experience.
Our Tech Stack
- Coding languages: Python, Elixir, TypeScript, React (JavaScript)
- Persistence: Amazon RDS for PostgreSQL, DynamoDB, S3
- Infrastructure: AWS
- Monitoring: DataDog
- CI/CD: Jenkins, Argo CD
- AI: Gemini, Claude Code
- Infrastructure as Code: Terraform
- Other: Kafka, GitHub, Kubernetes, Docker
