AI Engineer

CVS Scottsdael, AZ \*\*HYBRID FROM DAY 1 About the Role We are seeking an experienced AIML Engineer to design, build, and operate AI/ML infrastructure and agentic systems. This role involves developing MCP servers and agents, integrating LLMs, and implementing RAG pipelines for production environments. Key Responsibilities · Design, build and operate MCP servers and MCP agents that host, orchestrate and monitor AI/agent workloads. · Develop agentic AI, prompt engineering patterns, LLM integrations and developer tooling for production use. · Own deployment, scaling, reliability and cost\-efficiency on Kubernetes/Docker and Google Cloud with automated CI/CD · Design and implement RAG (Retrieval Augmented Generation) pipelines and integrations with vector stores and retrieval tooling; use LangChain and Langfuse for orchestration, chaining, and observability. Core Responsibilities · Implement and maintain MCP server and agent code, APIs, and SDKs for model access and agent orchestration. · Design agent behavior, workflows and safety guards for agentic AI systems. · Create, test and iterate prompt templates, evaluation harnesses and grounding/chain of thought strategies. · Integrate LLMs and model providers (self hosted and cloud APIs) with unified adapters and telemetry. · Build developer tooling: CLI, local runner, simulators, and debugging tools for agents and prompts. · Containerize services (Docker), manage orchestration (Kubernetes/GKE), and optimize nodes, autoscaling and resource requests. · Ensure observability: logging, metrics, traces, dashboards, alerting and SLOs for model infra and agents. · Create runbooks, playbooks and incident response procedures; reduce MTTR and perform postmortems. · Design and maintain RAG workflows: document chunking, embeddings, vector indexing, retrieval strategies, re ranking and context injection. · Integrate and instrument LangChain for composable chains, agents and tooling; use Langfuse (or equivalent tracing) to capture promp