AI ENGINEER
Core
Design, develop, and deploy advanced AI and generative model solutions, focusing on agentic architectures, RAG pipelines, and production-grade services.
Role type
Senior AI Engineer (Generative AI & LLMs)
Builds
Scalable AI systems, multi-agent applications, and production APIs
Domain
Artificial Intelligence, Generative AI, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Python development, PyTorch, scikit-learn, Transformer architectures, LangChain, LangGraph, RAG pipeline design, vector databases (Qdrant), fine-tuning (PEFT/LoRA), distributed systems, Docker, CI/CD, English (fluent)
Preferred skills
Hugging Face ecosystem, vLLM, Ray, MLOps/LLMOps tools (MLflow), observability platforms (Phoenix), prompt engineering, inference optimization (quantization, batching), Kubernetes, Dagster, AI security practices
Technologies
Python, PyTorch, scikit-learn, LangChain, LangGraph, Qdrant, Redis, Docker, Kubernetes, vLLM, Ray, MLflow, Phoenix, GitLab CI
Responsibilities
Design and develop LLM-based applications and multi-agent systems; define strategies for chunking, embedding, retrieval, and reranking in RAG pipelines; create production-grade services and APIs; apply fine-tuning techniques and optimize AI workloads on dedicated hardware; collaborate with software, data, infrastructure, and product teams in an Agile environment
Seniority
Senior, hands-on IC
