Senior LLM / Generative AI / Agentic Solutions Engineer

Full-timeSenior

AI Tools

PEFT/LoRAvLLM

Tech Stack

PythonLLM OrchestrationRAGVector DatabasesREST/gRPCDockerCI/CDAWSGCPAzurevLLM

Agent Workflow

Design supervisor/executor patterns, memory strategies, and robust tool-calling failure handling. Build advanced RAG with high-performance embedding, retrieval, re-ranking pipelines. Production agentic systems with automated evaluation.

About the Role

A fast-growing, innovation-driven company in Budapest is seeking a Senior LLM / Generative AI / Agentic Solutions Engineer to design and build production agentic systems. The company builds and deploys AI solutions across Space, Manufacturing, AdTech, and FinTech.

Key Responsibilities

  • Build Agentic Systems: Design supervisor/executor patterns, memory strategies, and robust tool-calling failure handling
  • LLM Adaptation & Deployment: Fine-tune open-source models; optimize inference for production latency/cost
  • Advanced RAG: Build high-performance embedding, retrieval, re-ranking pipelines
  • Structured Generation: Enforce schemas/guardrails to minimize hallucinations
  • Evaluation & Quality: Build automated evaluation harnesses, regression tests, prompt/model versioning
  • Production Engineering: Build containerized APIs with CI/CD, observability, SLOs
  • Cross-functional Delivery: Integrate GenAI features; mentor junior engineers

Requirements

  • 5+ years building production ML/AI systems, including 2+ years in lead roles
  • Strong Python engineering (performance, testing, packaging)
  • Hands-on experience with LLM orchestration, tool-calling, and workflow integration for agentic AI
  • LLM adaptation (PEFT/LoRA) and safety engineering
  • Production RAG pipelines and vector databases
  • Containerized services (REST/gRPC), CI/CD
  • Cloud platforms (AWS/GCP/Azure)
  • Inference optimization (vLLM/quantization)
  • Event-driven orchestration
  • Automated evaluation (LLM-as-judge)

Education: Bachelor's degree (BSc/BA)

Valid through: May 31, 2026. Posted: March 4, 2026.

Apply Now
Apply Now

Similar Jobs

Get jobs like this weekly