About The Company
Our client, a venture-backed (Daniel Gross, Bek Ventures and AI Grant) AI startup in the productivity and knowledge-work space, is looking for a Senior Backend Engineer to scale and optimise their autonomous email agent platform.
About The Role
Senior Backend Engineer to scale and optimize AI email platform, design FastAPI endpoints, integrate LLMs, and mentor junior engineers in Munich.
Our client, a venture-backed AI startup in the productivity and knowledge-work space, is looking for a Senior Backend Engineer to scale and optimise their autonomous email agent platform. This is a unique opportunity to work on cutting-edge AI and machine learning applications while shaping the architecture of a fast-growing product used by thousands of users.
As a Senior Backend Engineer, you will drive the performance and scalability of the real-time email ingest and synchronisation pipeline. You’ll make key architectural decisions, integrate large language models (LLMs), and deliver production-ready features at startup speed.
Key Responsibilities
Design \& build high-throughput FastAPI endpoints and async pipelines for email ingest, agent execution, and user-facing services.
Optimise PostgreSQL schemas, indexes, and partitioning to maintain low latency at massive scale.
Integrate and refine LLM tool-calling flows, monitoring latency, quality, and cost.
Maintain and improve CI/CD pipelines to ensure reliable, rapid deployments.
Maintain clean data models and migration paths as product requirements evolve.
Own production code—debug, profile, and iterate quickly.
Mentor junior engineers, review code, and help shape technical standards and roadmap priorities.
What You’ll Gain
Competitive salary + meaningful equity in a venture-backed startup.
Direct impact on product architecture, AI workflows, and company culture.
Opportunity to work with engineers experienced in large-scale foundation model training.
Fast-paced, collaborative environment where experimentation and innovation are encouraged.
Requirements
3+ years professional experience in modern Python
Production experience with FastAPI or equivalent Python frameworks
Strong practical knowledge of PostgreSQL
Demonstrated interest or experience in AI/ML technologies
Experience integrating external APIs and webhooks
Excellent written and verbal English communication
Willingness to work primarily on-site in Munich
Experience using Cursor or Claude-Code (preferred)
Background in early-stage product startups (preferred)
Hands-on experience tuning LLMs for latency, cost, and quality (preferred)
Required Skills
Python
FastAPI
Pydantic
PostgreSQL
Next.js
LLMs
Modal
AWS
CI/CD
async/await
schema design
query planning
performance tuning
external APIs
webhooks
Gmail
Slack
Notion
Google Calendar
written and verbal English communication
Benefits
Competitive salary + meaningful equity in a venture-backed startup
Direct impact on product architecture, AI workflows, and company culture
Opportunity to work with engineers experienced in large-scale foundation model training
Fast-paced, collaborative environment where experimentation and innovation are encouraged
Equity:
equity, meaningful equity in a venture-backed startup