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Full Stack AI Engineer

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Das ist der Job

You will report to the CTO, with a dotted line to the Product Builder.

Darum lohnt es sich

You will turn ambiguous business problems across multiple teams into working solutions using AI-native development tools. As the team grows, the role will evolve toward platform architecture, integrations, and technical leadership.

You will turn ambiguous business problems across multiple teams into working solutions using AI-native development tools. As the team grows, the role will evolve toward platform architecture, integrations, and technical leadership.

Azure OpenAI, OpenAI, Anthropic) Experience with RAG, vector databases, and agent-based systems Confident using AI-native dev tools to accelerate delivery Strong backend skills (Python, C#/.NET, or Node.js) Working frontend capability (React, Next.js, or similar) Experience with Azure and cloud architecture Familiar with IaC and CI/CD pipelines Experience integrating SaaS platforms via APIs/events Understanding of production systems and reliability Working knowledge of security and compliance frameworks Comfortable as a founding engineer in an early-stage environment Strong product thinking and problem-solving ability Clear communicator across technical and non-technical audiences Self-sufficient, proactive, and effective in remote teams #J-18808-Ljbffr Overview This is the first software engineering hire at Otonomee and a key role in building the company’s AI capability and platform.

You will design, build, and ship AI-powered applications end-to-end — spanning backend, data, APIs, and lightweight UI — while establishing the foundation of the Enterprise AI Platform on Azure. In the early phase, this role is highly hands-on.

This is the first software engineering hire at Otonomee and a key role in building the company’s AI capability and platform. You will report to the CTO, with a dotted line to the Product Builder.

You will design, build, and ship AI-powered applications end-to-end — spanning backend, data, APIs, and lightweight UI — while establishing the foundation of the Enterprise AI Platform on Azure. In the early phase, this role is highly hands-on. Requirements Proven experience shipping full-stack applications end-to-end Hands-on with AI/LLMs (e.g.

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