Generative AI Engineer

AI Engineer (production / apps focus):
Design and ship AI-powered product features (LLMs, RAG, agents, ML APIs) into our
existing services, working closely with backend, frontend, and data science teams.
 Integrate off-the-shelf and inhouse models (LLMs, embeddings, ML APIs) into robust
microservices and user facing flows.
 Design and implement RAG and workflow/agent pipelines: retrieval, context
assembly, 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 evaluation
design; productionize their outputs as stable APIs/workflows.
 Implement logging, feedback capture, and lightweight online evaluation hooks to
measure quality of AI features over time.
 Ensure safety, security, and compliance for AI features: prompt injection d...