Pozíció leírása / Job description

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.

• 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.

Elvárások / 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).

Amit nyújtunk / Benefits

• Career Growth

• Collaborative Team

• Exciting Projects

• Remote Work