About the role
We're hiring on behalf of a Haystack partner!
The Role
• Develop and optimize RAG pipelines, including retriever components, embeddings, indexing processes, and evaluation logic.
• Integrate and utilize knowledge graphs to provide structured context to AI systems and agents.
• Implement agentic multi-step workflows with MCP clients, orchestration logic, and supporting tools.
• Develop prompting strategies, chunking concepts, and context preparation methods tailored to specific product requirements.
• Integrate AI models into existing platforms and systems.
• Optimize performance, conduct benchmarking, and manage costs for RAG and agentic architectures.
What You'll Need
• Minimum 4 years of software development experience with Java, Python, or TypeScript.
• Experience with or strong motivation for working with RAG pipelines, retrieval systems, vector databases, or graph technologies.
• Ability to translate AI potential into concrete, user-oriented product features.
• Structured, reliable work approach with a high degree of personal responsibility and a strong focus on execution.
• Strong interest in data-driven systems, search technologies, and context architectures.
• Team-oriented work style with clear and effective communication in interdisciplinary teams.
What's On Offer
• Competitive salary
• Hybrid work environment
• Opportunity to shape AI-driven features for a large user base
• Contribute to the development of an AI platform to enhance software development productivity
Apply via Haystack today!
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