Overview
TODAY revolutionizes Financial Advice by making advisors AI-native. Its AI sales operating system supports financial and insurance advisors before, during, and after client meetings, so they save time and give their clients better advice. If terms such as Voice AI, workflow automation, real-time analysis, and assistance are what you're passionate about, we want to hear from you. Tasks Architect, build, and own core product features across our entire stack, from AI (Voice AI, STT, TTS, Microsoft Foundry, MCP, Deep Agents, LangChain, Langfuse) to Python (optionally Golang and/or TypeScript ), Postgres , and Microsoft Azure infrastructure. Design and implement scalable microservice architectures on a modern infrastructure stack. Develop production-grade AI products , including features driven by LLMs, agents, and advanced audio ML . Integrate a wide variety of third-party APIs, MCPs, and data stores to expand our platform's capabilities. Get hands-on with Voice AI , building systems for audio analysis and processing, VAD, noise cancelation, turn management, and implementing robust evaluation frameworks for evals and agent orchestration . Champion a security-first mindset, ensuring the highest standards for data, application, and infrastructure security . Establish and drive a comprehensive testing culture, from unit testing to contract and penetration testing. Requirements You have a proven track record of building and shipping production-grade AI products , especially in a startup environment. You possess rock-solid, hands-on experience in Python (and/or Golang ), Postgres (or MySQL), microservices, and modern infrastructure. ReactJS, TypeScript, or Electron is also a big plus. You have experience with API/MCP integrations and can quickly get up to speed on new services. You have deep, practical experience with building AI Agents, integrating and evaluating LLMs , prompt engineering, and evals. Y
Full job description
TODAY revolutionizes Financial Advice by making advisors AI-native. Its AI sales operating system supports financial and insurance advisors before, during, and after client meetings, so they save time and give their clients better advice. If terms such as Voice AI, workflow automation, real-time analysis, and assistance are what you're passionate about, we want to hear from you. Tasks
Architect, build, and own core product features across our entire stack, from AI (Voice AI, STT, TTS, Microsoft Foundry, MCP, Deep Agents, LangChain, Langfuse) to Python (optionally Golang and/or TypeScript ), Postgres , and Microsoft Azure infrastructure. Design and implement scalable microservice architectures on a modern infrastructure stack. Develop production-grade AI products , including features driven by LLMs, agents, and advanced audio ML . Integrate a wide variety of third-party APIs, MCPs, and data stores to expand our platform's capabilities. Get hands-on with Voice AI , building systems for audio analysis and processing, VAD, noise cancelation, turn management, and implementing robust evaluation frameworks for evals and agent orchestration . Champion a security-first mindset, ensuring the highest standards for data, application, and infrastructure security . Establish and drive a comprehensive testing culture, from unit testing to contract and penetration testing.
Requirements
You have a proven track record of building and shipping production-grade AI products , especially in a startup environment. You possess rock-solid, hands-on experience in Python (and/or Golang ), Postgres (or MySQL), microservices, and modern infrastructure. ReactJS, TypeScript, or Electron is also a big plus. You have experience with API/MCP integrations and can quickly get up to speed on new services. You have deep, practical experience with building AI Agents, integrating and evaluating LLMs , prompt engineering, and evals. Y
Tips for this job
Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
JobOpportunity.info helps you discover and organize source listings. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Apply through JobOpportunity →Browse current JobOpportunity listings from Arbeitnow Job Board API →
