Principal AI Software Engineer (Agentic AI)

Remote, Europe (EU only). Full-time.

Overview

We are hiring a Principal AI Software Engineer to lead the design and delivery of production‑grade agentic AI systems for a fast‑growing, product‑led technology company headquartered in Germany. This role is critical in shaping AI architecture, guiding engineering teams, and building intelligent systems that operate reliably at scale.

Responsibilities

Design, build, and operate production‑grade agentic AI systems and complex AI workflows.
Architect scalable backend services using Node.js and Python.
Implement AI solutions using LLMs, embeddings, prompt engineering, and RAG (Retrieval‑Augmented Generation).
Design and integrate storage solutions including PostgreSQL, Redis, and vector databases.
Lead integrations with complex APIs and third‑party services.
Leverage and extend agent frameworks such as LangChain, LangGraph, or custom equivalents.
Work with workflow and automation platforms (n8n, Appmixer, Make.com, or similar).
Define technical standards, review designs, and mentor senior and mid‑level engineers.
Drive architecture decisions in a product‑led, fast‑scaling environment.

Required Qualifications & Skills

Proven experience delivering production‑ready agentic AI systems or complex AI orchestration workflows.
Strong hands‑on expertise in JavaScript / Node.js and Python.
Deep understanding of data storage technologies (PostgreSQL, Redis, vector databases).
Experience with prompt engineering, embeddings, and RAG architectures.
Solid understanding of API design and system integrations.
Experience leading technical direction and mentoring engineers.
Ability to operate independently in a senior, principal‑level role.
Strong architectural thinking paired with hands‑on implementation skills.

Nice‑to‑Have Skills

Experience with Pinecone, Weaviate, or similar vector databases.
Familiarity with low‑code / workflow automation platforms.
Background in scalable SaaS or AI‑first product companies.
Exposure to cloud‑native architectures and distributed systems.
Experience scaling AI systems under real commercial load.

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Monika Saleta