Senior GenAI Developer (Java, RAG, Chatbots) – Amsterdam Hybrid

📍 Location: nl

🏷 Type: Not specified

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Job Overview

This role targets a Senior-Level AI / GenAI Developer specializing in Agentic AI systems, conversational platforms, and RAG architectures. Based in Amsterdam with a Hybrid setup, the position focuses on building scalable AI-driven applications using Java, Kotlin, Spring Boot, and cloud-native Azure services. The ideal candidate brings 6–8 years of experience in backend engineering combined with hands-on exposure to LLMs, ChatGPT integrations, and chatbot frameworks, enabling them to design intelligent, production-ready AI systems.

🌍 Work Eligibility & Location

This role operates in a Hybrid model within the Netherlands, meaning candidates must likely already have EU work authorization or local eligibility. Lack of explicit visa sponsorship signals potential limitations for international applicants, making this more accessible to candidates already based in Europe. English as the working language ensures accessibility across international teams.

💰 Salary Intelligence

While the official compensation is not listed, market benchmarks for Senior-Level AI engineers in Amsterdam suggest a range between €85K and €115K, depending on expertise in GenAI and cloud platforms. For a 6-month contract, this translates into competitive short-term earnings, particularly for candidates with strong RAG and LLM integration experience.

📊 Role Breakdown

This position is heavily execution-focused, combining backend engineering with applied AI system design. Approximately 40% of the role involves building and deploying conversational AI systems using ChatGPT, LLM APIs, and RAG pipelines. Another 30% centers on backend development with Java, Kotlin, and Spring Boot, ensuring scalability and system reliability.

The remaining 30% includes cloud integration and cross-functional collaboration, particularly with Azure services and business teams. A key expectation is the ability to translate business requirements into AI-driven solutions, bridging the gap between technical implementation and user experience.

Success in this role depends on the ability to design agentic workflows, integrate retrieval pipelines, and continuously optimize system outputs for real-world conversational use cases.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This role sits at a high difficulty level due to the combination of backend engineering depth and GenAI specialization. The 6–8 years experience requirement filters out junior candidates, while demand for Agentic AI and RAG expertise increases competition. Candidates with real-world deployment experience in LLM-powered systems will have a significant advantage.

🚀 Career Impact

This role delivers strong career acceleration by positioning you at the forefront of Agentic AI and conversational system design. You will gain exposure to production-grade GenAI systems, significantly strengthening your profile for AI architect and leadership roles. The combination of backend scalability and LLM integration is highly valued across global AI hiring markets.

📋 Key Responsibilities

You will design and develop intelligent chatbot systems using LLMs and ChatGPT APIs, while implementing RAG pipelines for enhanced contextual responses. A major part of your role includes building scalable backend services with Java, Kotlin, and Spring Boot.

You will also integrate AI solutions into Azure cloud environments, ensuring performance and reliability at scale. Collaboration is critical, as you will work with cross-functional teams to convert business requirements into AI-driven user experiences. Additionally, you are expected to contribute innovative ideas that improve both product capability and user engagement.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.

How to use: Paste into ChatGPT, Claude, or Gemini

🧠 Fit & Positioning Analysis

Evaluate your match before applying.

📅 Application Signals

This opportunity has a defined start date (24 May 2026), indicating high urgency in the hiring process. Given the short-term contract nature and niche GenAI expertise, competition is expected to be intense among senior AI engineers. Early application significantly increases visibility with hiring managers.

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✅ Job Source & Verification

This job listing is based on a structured review of the original posting and enhanced for clarity, accuracy, and global accessibility. The source credibility is high as it reflects a direct employer or recruitment listing. Last updated: April 2026. Candidates should verify final application details directly with the hiring organization.