Senior Software Engineer, Glia
Conversational AI, Python
More information about location
AI-based customer service platform
Be an early applicant
AI-based customer service platform
201-500 employees
Be an early applicant
More information about location
201-500 employees
Company mission
To help businesses reinvent how they support customers in a digital world.
Role
Who you are
- 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 (such as the Claude Agent SDK or OpenAI Agents SDK)
- Architecture & Technical Judgment: You own the design of complex components, make sound tradeoffs, and spot risk early. When AI writes more of the code, system design becomes the scarce and highly valued skill
- Excellent: Trusted, Fast Delivery: You ship fast without cutting corners. You have a track record of reliable outcomes, de-risking projects, and owning quality, including verifying and standing behind agent-generated code
- Applied AI Fluency: You actively use tools like Claude to design, build, review, and ship. You can direct agents, verify their output, and you know where they help and where they don’t
- Proactive: You see problems before they’re assigned to you and act on them. You partner with PMs to take projects from idea to delivery, and you raise issues, propose solutions, and drive them forward without waiting to be asked
- Adaptable: You do well in a fast-paced environment where priorities, tools, and the AI landscape itself change quickly. You adjust without losing momentum
- 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) to work closely with teammates in Vancouver
- Leadership Instincts: You set direction, unblock people, and raise the bar without micromanaging. Ideally, you bring prior tech lead, team lead, or mentorship experience
What the job involves
- 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
- 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
Our take
Relationships between credit unions and their members are essential in aiding the process of securing new customers, solving transaction disputes, and maintaining accounts. However, legacy computer systems and outdated communication channels, such as automated phone services, are preventing this.
Glia provides an integrated customer support platform for financial services that provides communication channels in the form of video banking, instant messaging, and voice chat. AI-assisted virtual assistants are also provided as part of the plan, providing prompts and suggestions to support staff based on the on-screen scenario.
The startup reached unicorn status in 2022 with a valuation of $1 billion, and more than 250 banks, credit unions, insurance companies, and other financial services businesses currently use its tools. Its funding is being channelled into research and development to build more tools leveraging artificial intelligence - including an AI platform for financial institutions - and analytics solutions.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Mar 2022
$45m
SERIES D
Jan 2021
$78m
SERIES C
Total funding: $152m
Company benefits
- Gym & wellness support
- High-Growth Environment
- Lots of Office Snacks
- Great Healthcare and Vision
- Amazing Community
Company HQ
Flatiron District, New York, NY
Leadership
Justin DiPietro
(Co-Founder & CSO)Previously a strategy consultant at Accenture for 2 years.
Daniel Michaeli
(Co-Founder & CEO)Previously a Consultant at Accenture. Currently hosts CX Show, a talk radio show about customer experience.
Carlos Paniagua
(Co-Founder & CTO)Worked in various software development roles before spending 2 years as a cloud computing researcher at Tartu University in Estonia whilst completing an MSc.
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