SENIOR LLM / GENERATIVE AI / AGENTIC SOLUTIONS ENGINEER

• Career Growth • Collaborative Team • Exciting Projects • Remote Work Organisation/Department Our partner is a fast-growing, innovation-driven company building and deploying AI solutions across Space, Manufacturing, AdTech, and FinTech. They combine state-of-the-art research with robust engineering to solve real-world problems at production scale. Job description • Build Agentic Systems: Design supervisor/executor patterns, memory strategies, and robust tool-calling failure handling. • LLM Adaptation & Deployment: Fine-tune open-source models and optimize inference for production-scale latency and cost. • Advanced RAG: Implement high-performance embedding, retrieval, and re-ranking pipelines for grounded outputs. • Structured Generation: Enforce schemas and guardrails to minimize hallucinations and ensure reliable system behavior. • Evaluation & Quality: Develop automated evaluation harnesses, regression tests, and versioning for prompts and models. • Production Engineering: Ship containerized APIs with full CI/CD, observability, and reliability monitoring (SLOs). • Cross-functional Delivery: Collaborate with product teams to integrate GenAI features and mentor junior engineers. Requirements • Senior AI Expertise: 5+ years building production ML/AI systems, including 2+ years in lead roles with strong Python engineering (performance, testing, packaging). • LLM & Agentic AI: Hands-on experience with orchestration, tool-calling, and workflow integration, including LLM adaptation (PEFT/LoRA) and safety engineering. • Production RAG & Data: Proven track record of operating RAG pipelines, vector databases, and retrieval performance tuning in production. • MLOps & Cloud: Proficiency in containerized services (REST/gRPC), CI/CD, and monitoring within cloud environments (AWS/GCP/Azure). • Advanced Optimization: Experience in inference optimization (vLLM/quantization), event-driven orchestration, and automated evaluation (LLM-as-judge). Information Boglárka Éva Tóth - boglarka.eva.toth@randstad.hu Ildikó Mező-Mészáros - ildiko.mezo-meszaros@randstad.hu