AI Engineer - AI Agents Team - Surf AI
- חברה: Surf AI
- מיקום: 114 Yigal Alon, 10th Floor, Tel Aviv
- טכנולוגיות: Python, LangChain, PyTorch, Hugging Face, Docker, Kubernetes, AWS, GCP, Azure, pgvector, Pinecone, Weaviate
תיאור המשרה
5+ years of experience in software engineering, machine learning, or AI systems development.
Strong programming skills in Python and hands-on experience with LangChain , LangGraph , or similar frameworks.
Proven experience integrating LLMs (OpenAI, Anthropic, local models) into production applications.
Proficiency with PyTorch , Hugging Face , or other model-serving ecosystems.
Familiarity with containerized deployments (Docker, Kubernetes) and cloud-native development (AWS, GCP, or Azure).
Understanding of retrieval , embeddings , and vector databases (pgvector, Pinecone, Weaviate).
Strong system design skills and experience building robust APIs or services around ML components.
Why Join Us? If you want to work on foundational systems, ship AI into production, and help define how agentic security actually operates, this is an opportunity to do it early and with real ownership.
תחומי אחריות
Develop and deploy LLM-based systems and AI agents that interact with data sources, APIs, and user interfaces.
Implement retrieval-augmented generation (RAG) , fine-tuning, and prompt-optimization workflows for specific product domains.
Build and maintain the infrastructure for agent orchestration , evaluation, and lifecycle management.
Collaborate with Data Science to integrate models into production pipelines with strong reliability, monitoring, and observability.
Contribute to internal frameworks for tool-use , memory , and multi-agent coordination .
דרישות
5+ years of experience in software engineering, machine learning, or AI systems development.
Strong programming skills in Python and hands-on experience with LangChain , LangGraph , or similar frameworks.
Proven experience integrating LLMs (OpenAI, Anthropic, local models) into production applications.
Proficiency with PyTorch , Hugging Face , or other model-serving ecosystems.
Familiarity with containerized deployments (Docker, Kubernetes) and cloud-native development (AWS, GCP, or Azure).
Understanding of retrieval , embeddings , and vector databases (pgvector, Pinecone, Weaviate).
Strong system design skills and experience building robust APIs or services around ML components.
Why Join Us? If you want to work on foundational systems, ship AI into production, and help define how agentic security actually operates, this is an opportunity to do it early and with real ownership.