NavanNew York, NYBuild agentic AI workflows and LLM-powered loyalty experiences on the Loyalty Wallet team. Requires 6+ years building production AI/LLM systems with strong backend fundamentals.
Designs and scales enterprise MLOps platform focused on Generative AI and LLMs on AWS, owning architecture for pipelines, deployment, monitoring, governance, and cost optimization. Requires 6+ years ML engineering experience with SageMaker, RAG, and production LLM operationalization.
Senior Application Engineer building and deploying AI Agents with Salesforce Agentforce, intelligent automations, and custom Salesforce applications. Requires 5+ years experience, specific Salesforce certifications (Platform Developer I/II, Advanced Admin, Agentforce Specialist), strong coding and DevOps skills, and mentoring ability.
Designs and implements core Python framework components for building real-time AI agents that see, hear, and speak. Owns features end-to-end with strong API design skills and experience in production Python systems.
Build and evolve shared AI/ML infrastructure including LLM proxy server, observability tooling, and ML Ops platform capabilities. Focus on LLM Ops and ML Ops to improve how models are accessed, monitored, evaluated, deployed, and governed in production.
Forward-deployed AI Engineer embedding with teams to build production agentic workflows, LLM applications, RAG pipelines, and MCP servers that automate work across Engineering, Operations, and Finance. Own end-to-end delivery from discovery through production monitoring on GCP.