Senior Software Developer, AI

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

Zusammenfassung

Jobtailor in Germany is seeking an experienced software engineer to design and implement AI agents with reasoning pipelines, and to integrate LLM-powered services. You will contribute to scalable architectures, data- and event-driven systems, and collaborate with the Team Lead and Product Owner.

Responsibilities include improving, refactoring, and maintaining code, participating in design discussions, and sharing knowledge across teams.

Qualifikationen

• 5+ years of professional experience.
• Proficient in Java and Spring Boot.
• Experience with Docker.
• Experience with AI: Spring AI.
• Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference).
• Knowledge of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch).
• Experience with AWS Bedrock.
• Knowledge of LangChain4j.
• Understanding embeddings, prompt engineering basics, and retrieval-augmented generation (RAG).
• Understanding Model Context Protocol.
• Polish – C1 (required).
• English – C1/B2+ (required).

Aufgaben

• Designing and implementing AI agents with reasoning pipelines (multi-step workflows, RAG-based decision making).
• Integrating AI capabilities such as LLM-powered services, semantic search, and intelligent automation.
• Contributing to scalable architectures for data- and event-driven systems.
• Improving, refactoring, and maintaining existing code bases.
• Designing tasks in collaboration with the Team Lead and Product Owner.
• Participating in code reviews, architecture discussions, and knowledge sharing.

Kenntnisse

Java

Spring Boot

Docker

AI integration

LLMs integration

Vector databases

AWS Bedrock

LangChain4j

Embeddings & prompt engineering

Model Context Protocol

Polish (C1)

English (C1/B2+)

Tools

OpenAI API

Anthropic

Milvus

Pinecone

Qdrant

Elasticsearch

LangChain4j

RAG

Local inference

Jobbeschreibung

Responsibilities

• Designing and implementing AI agents with reasoning pipelines (e.g., multi-step workflows, RAG-based decision making)
• Integrating AI capabilities such as LLM-powered services, semantic search, and intelligent automation
• Contributing to scalable architectures for data- and event-driven systems
• Improving, refactoring, and maintaining existing code bases
• Designing tasks in collaboration with the Team Lead and Product Owner
• Participating in code reviews, architecture discussions, and knowledge sharing

Requirements

• 5+ years of professional experience
• Java
• Spring Boot
• Docker
• AI-related: Spring AI
• Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference, etc.)
• Understanding of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch)
• AWS Bedrock
• LangChain4j
• Knowledge of embeddings, prompt engineering basics, and retrieval-augmented generation (RAG)
• Understanding Model Context Protocol
• Polish – C1 (required)
• English – C1/B2+ (required)