Senior Software Engineer II – AI Tooling and Interfaces

Jobtailor; Deutschland; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Jobtailor in Germany is seeking a senior software engineer with 6+ years of experience to lead AI initiatives. You will translate product requirements into AI-driven solutions, and design end-to-end automations using LLMs, retrieval, and orchestration to improve client experiences.

You will collaborate with engineers, product managers, and data teams to identify opportunities, implement scalable architectures, and ensure data quality, observability, and safety across AI systems.

Qualifikationen

• 6+ years of experience in software engineering, data engineering, or large-scale distributed systems.
• Hands‑on experience integrating LLMs into production systems (embeddings, RAG, vector stores, or agent orchestration).
• Strong proficiency in Python and SQL.
• Experience with Kubernetes and container-based infrastructure and deployment.
• You think in systems: storage, retrieval, metadata, reliability, latency, failure modes.
• Ability to work from ambiguity to execution — you're comfortable being the first to figure something out.
• Strong communication skills: you can explain tradeoffs, scope decisions, and technical strategy clearly.

Aufgaben

• Work closely with engineers, product managers, and data teams to identify and prioritize AI opportunities across the organization.
• Translate product requirements into AI-driven solutions that directly impact the client experience.
• Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive tasks and unlock new client-facing capabilities.
• Design and implement agentic workflows and orchestration pipelines that automate complex, multi-step processes.
• Design retrieval, orchestration, and memory layers that make our AI agents smarter over time.
• Establish best practices for AI data quality, observability, and safety.

Kenntnisse

Python

SQL

LLMs integration

Kubernetes

Distributed systems

Systems thinking

Communication

Tools

Vector stores

Embeddings

RAG

Agent orchestration

Jobbeschreibung

Responsibilities

• Work closely with engineers, product managers, and data teams to identify and prioritize AI opportunities across the organization.
• Translate product requirements into AI-driven solutions that directly impact the client experience.
• Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive tasks and unlock new client-facing capabilities.
• Design and implement agentic workflows and orchestration pipelines that automate complex, multi-step processes.
• Design retrieval, orchestration, and memory layers that make our AI agents smarter over time.
• Establish best practices for AI data quality, observability, and safety.

Requirements

• 6+ years of experience in software engineering, data engineering, or large-scale distributed systems.
• Hands‑on experience integrating LLMs into production systems (embeddings, RAG, vector stores, or agent orchestration).
• Strong proficiency in Python and SQL.
• Experience with Kubernetes and container-based infrastructure and deployment.
• You think in systems: storage, retrieval, metadata, reliability, latency, failure modes.
• Ability to work from ambiguity to execution — you're comfortable being the first to figure something out.
• Strong communication skills: you can explain tradeoffs, scope decisions, and technical strategy clearly.