Senior Software Engineer (Conversational AI, Python)

Join our team as a Senior Software Engineer specializing in Conversational AI and Python. You will design, build, and ship the core of our agentic voice AI framework, optimize real-time voice pipeline latency, and collaborate with teams across Europe and Vancouver. You will also help unify our runtime architecture and maintain the stability of our existing production systems. This role offers a high-growth environment, great healthcare and vision, and a supportive community.

• Design, build, and ship the core of the agentic voice AI framework, focusing on conversation orchestration and runtime architecture.
• Build and evolve the harness controls that ensure the trustworthiness of LLM agents for banking applications.
• Profile, measure, and optimize every stage of the real-time voice pipeline to improve latency and performance.

• 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