Senior Software Engineer (Conversational AI, Python)

• 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

Benefits

• Gym & wellness support
• High-Growth Environment
• Lots of Office Snacks
• Great Healthcare and Vision
• Amazing Community- 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
• 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
• Leadership Instincts: You set direction, unblock people, and raise the bar without micromanaging. Ideally, you bring prior tech lead, team lead, or mentorship experience
• 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
• 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)
• 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