ML Engineer

About the role

We're hiring on behalf of a Haystack partner!

The Role

• Architect and lead the delivery of production-grade AI systems leveraging agentic frameworks, RAG, and LLM orchestration.
• Own the technical vision for a multi-agent ecosystem, including pipeline orchestration engines, embedding/vectorization strategies, and knowledge retrieval systems.
• Lead a team of engineers in building autonomous AI pipelines for complex document processing.
• Drive build-vs-buy decisions for the AI toolchain and establish scalable prompt engineering patterns.
• Implement core agentic components and build embedding pipelines for document intelligence.
• Own CI/CD pipelines, containerized deployments, and define observability for AI systems.

What You'll Need

• Bachelor's or advanced degree in computer science, engineering, or equivalent experience.
• 10+ years of professional software engineering experience, with 3+ years in technical leadership or mentoring.
• Deep expertise in LLM orchestration, RAG architectures, and agentic patterns.
• Strong proficiency in Python (FastAPI, async/await) and solid experience with Java (Spring Boot).
• Proven experience in delivering production AI systems with robust observability and error recovery.
• Experience with document intelligence, including NLP and structured extraction from unstructured text.

What's On Offer

• Competitive salary
• Opportunity to build custom agent frameworks and contribute to greenfield AI initiatives.
• Lead and mentor a talented team of AI/ML, backend, and full-stack engineers.
• Work with cutting-edge AI technologies in a leading global financial services company.

Apply via Haystack today!