1 month ago
Poland (city not specified)Senior
Responsibilities
- Design, build, and ship the core agentic voice AI framework, including conversation orchestration, tool calling, and runtime architecture.
- Develop guardrails, grounding, policy checks, evaluation, and other controls for trustworthy LLM agents in banking.
- Profile, measure, and optimize latency across the real-time voice pipeline.
- Unify runtime architecture and reduce configuration friction for new banking use cases.
- Maintain the stability and reliability of existing production systems.
- Collaborate with product, design, and engineering teams across Europe and Vancouver to deliver solutions.
- Use AI-assisted development tools and help establish standards for reviewing and verifying agent-generated code.
Requirements
- Production AI systems experience and strong understanding of LLM architecture, including prompting, context management, tool use, agentic flows, retrieval, grounding, evaluation, and latency/cost/quality tradeoffs.
- Experience owning the design of complex components and making sound architectural and technical tradeoffs.
- A track record of fast, reliable delivery, project risk reduction, quality ownership, and verification of agent-generated code.
- Active use of AI tools such as Claude for designing, building, reviewing, and shipping software.
- Proactive problem-solving, adaptability, curiosity, and ability to learn unfamiliar tools and practices quickly.
- Clear written and verbal communication and ability to collaborate on a distributed team with at least two hours of daily overlap with Pacific Time from 9:00–11:00 AM PT.
- Prior tech lead, team lead, or mentorship experience is preferred.
- Real-time or voice AI experience and experience with agent SDKs such as the Claude Agent SDK or OpenAI Agents SDK are preferred.
Tech Stack
Amazon DynamoDBApache KafkaArgo CDAWSDatadogDockerElixirJavaScriptJenkinsKubernetesPostgreSQLPythonReactTerraformTypeScript
Categories
About Glia
Glia builds a SaaS platform for banks and credit unions that unifies voice and digital customer interactions and adds banking-trained AI agents. Its products include a Banking AI Operating System plus co-browsing, chat, and voice tools that integrate with core systems and contact centers. Founded in 2012 and headquartered in New York, the privately held company sells to financial institutions in multiple markets.