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Senior Software Engineer - Conversational AI (Python)

Glia

Senior 🇬🇧 English
Python Elixir TypeScript React AWS PostgreSQL DynamoDB DataDog Jenkins Argo CD Terraform Kubernetes Docker Gemini Claude Code

Description du poste

About the role

Glia is a banking AI platform used by banks and credit unions, and Team Vector builds the voice AI agents that talk directly to customers. As a Senior Software Engineer in Estonia, you will design and ship the core of the agentic voice AI framework, from conversation orchestration and tool calling to runtime architecture, with a focus on low-latency, safe and compliant responses.

Key responsibilities

  • Build and evolve the harness controls (guardrails, grounding, policy checks, evaluation) that make LLM agents trustworthy for banking.
  • Work on latency end to end: profile, measure and optimize speech recognition, LLM inference, tool calls and speech synthesis.
  • Help unify the runtime architecture and remove configuration friction so new banking use cases launch quickly.
  • Keep existing production systems stable and reliable while building the next generation.
  • Collaborate 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 standards for reviewing and verifying agent-generated code.

Required profile

  • Core requirement: hands-on experience building production AI systems and understanding LLM architecture (prompting, context management, tool use, retrieval and grounding, evaluation).
  • Experience with real-time or voice AI and agent SDKs (e.g. Claude Agent SDK, OpenAI Agents SDK) is a strong plus.
  • Ability to own complex designs, make trade-offs and spot risk early.
  • Proactive, adaptable, curious and able to collaborate across time zones; at least 2 hours of overlap per day with Pacific Time.
  • Ideally prior tech lead, team lead or mentorship experience.

Required skills

  • Coding: Python, Elixir, TypeScript, React (JavaScript)
  • Cloud and data: AWS, Amazon RDS for PostgreSQL, DynamoDB, S3, Kafka
  • Observability and CI/CD: DataDog, Jenkins, Argo CD, Terraform
  • Containers and orchestration: Kubernetes, Docker
  • AI models: Gemini, Claude Code

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