Ai Engineer

AI Engineer (production / apps focus):Design and ship AI-powered product features (LLMs, RAG, agents, ML APIs) into ourexisting services, working closely with backend, frontend, and data science teams. Integrate off-the-shelf and inhouse models (LLMs, embeddings, ML APIs) into robustmicroservices and user facing flows. Design and implement RAG and workflow/agent pipelines: retrieval, contextassembly, tools integration, guardrails, and fallbacks. Own AI service reliability in production: latency, throughput, cost,observability, circuitbreakers, and rollback/versioning of models and prompts. Collaborate with Data Scientists who own model training/finetuning and evaluationdesign;
productionize their outputs as stable APIs/workflows. Implement logging, feedback capture, and lightweight online evaluation hooks tomeasure quality of AI features over time. Ensure safety, security, and compliance for AI features: prompt injection defenses, PIIhandling, abuse/hallucination controls, and a...