AI Engineer - Generative AI and Agents

Requisitos

• 4+ years building and shipping production software, with a modern backend language (e.g., Python) as your primary focus, plus the enginee..
• Demonstrable production experience with LLM-based systems: retrieval-augmented generation, function and tool calling, structured output e..
• Hands-on work with vector and retrieval infrastructure such as pgvector, Pinecone, Qdrant, FAISS, or Azure AI Search, including the retri..
• Experience with agent frameworks and tooling: LangGraph, LangChain, CrewAI, the Model Context Protocol (MCP), or native Python execution..
• You have built an evaluation suite for an LLM system
• Test-set design, model-as-judge or equivalent scoring, and regression tracking with..

Desejáveis

• Fine-tuning and adaptation of open-weight models: LoRA, QLoRA, PEFT, and a clear view of when fine-tuning is the wrong answer
• Self-hosted or open-weight inference and serving, and the cost and latency trade-offs against hosted APIs
• Multimodal systems covering vision, speech, or document understanding alongside text
• Security work specific to LLM systems: prompt-injection testing, red-teaming, and output sanitization
• Delivery under a compliance regime such as SOC 2 or HIPAA