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TODAY

Senior Fullstack Engineer – AI, Backend, Infrastructure

TODAY

. Architect, build, and own core product features across the AI, backend, and infrastructure stack .

Posted 10/8/2026full-timeBerlin • GermanySeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and building production-grade AI products, with a strong focus on scalable microservice architectures and robust security measures. Proficient in integrating advanced audio ML capabilities and third-party APIs within regulated industries.

Highest-signal resume keywords
Python DevelopmentGolang ExperienceMicroservices ArchitectureAI Product DevelopmentAPI Integration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Voice AISpeech-To-Text (STT)Text-To-Speech (TTS)PostgresMicrosoft AzureDeep AgentsLangChainLangfusePrompt EngineeringEvaluation Frameworks
Soft Skills
Problem-SolvingEntrepreneurial Mindset
Tools & Technologies
Microsoft FoundryMCPReactJSTypeScriptElectron
Industry Keywords
FinTechInsurTechRegulated IndustriesBig DataHigh-Traffic Systems

Tech Stack

Tools & technologies
AzureElectronMicroservicesMySQLPostgresPythonReactTypeScriptGo

About the role

Key responsibilities & impact
  • Architect, build, and own core product features across the AI, backend, and infrastructure stack
  • Develop Voice AI, STT, TTS, Microsoft Foundry, MCP, Deep Agents, LangChain, and Langfuse capabilities
  • Build Python services, optionally using Golang and/or TypeScript, with Postgres and Microsoft Azure infrastructure
  • Design and implement scalable microservice architectures
  • Develop production-grade AI products driven by LLMs, agents, and advanced audio ML
  • Integrate third-party APIs, MCPs, and data stores
  • Build systems for audio analysis and processing, VAD, noise cancellation, and turn management
  • Implement robust evaluation frameworks for evals and agent orchestration
  • Ensure strong data, application, and infrastructure security
  • Establish a comprehensive testing culture covering unit, contract, and penetration testing

Requirements

What you’ll need
  • Proven track record of building and shipping production-grade AI products, especially in a startup environment
  • Hands-on experience with Python and/or Golang
  • Experience with Postgres or MySQL
  • Experience with microservices and modern infrastructure
  • Experience with API/MCP integrations and ability to get up to speed on new services
  • Practical experience building AI Agents, integrating and evaluating LLMs, prompt engineering, and evals
  • Experience building scalable, responsive infrastructure under high-traffic and big-data regulatory requirements
  • Experience building production-grade agents addressing memory, context, and tooling challenges
  • Strong entrepreneurial mindset and drive
  • Pragmatic problem-solving ability to translate complex requirements into robust, scalable, and secure technical solutions
  • ReactJS, TypeScript, or Electron experience is a plus
  • Previous experience in FinTech, InsurTech, or other regulated industries is a plus
  • Application must include a link, demo, or Loom of a production-grade AI, FinTech, high-traffic, or big-data product or solution shipped, with an explanation of architecture, technology choices, and trade-offs

Benefits

Comp & perks
  • Competitive salary
  • Significant equity
  • Opportunity to work with and learn from the Founder team
  • Opportunity to join an extremely fast-moving AI startup transforming financial advice