Senior AI Engineer – Enterprise Applications
Core
Design, develop, and deploy production-grade AI agents, RAG pipelines, and enterprise automation workflows to reduce cycle times and improve productivity across GTM, RevOps, and Customer Experience functions.
Role type
Senior IC AI Engineer (LLM & Agentic Systems)
Builds
Production AI agents, RAG pipelines, Salesforce automation workflows, and enterprise integration platforms
Domain
Enterprise SaaS, Customer Experience (CX), Large Language Models (LLM), Intelligent Automation
Deliverable
production ML models | product features
Required skills
Python, LLM application development, Agentic workflow design (LangChain, LangGraph, MCP), RAG pipeline development, Prompt engineering, REST API development, Vector database management, CI/CD integration, Observability
Preferred skills
Salesforce platform expertise (Flows, Apex, Agentforce), Multi-agent orchestration frameworks (AutoGen, CrewAI), AI productivity platforms (Gemini Enterprise, Claude Code)
Technologies
LangChain, LangGraph, MCP, LangSmith, Pinecone, Weaviate, pgvector, Salesforce, GitHub Actions, Datadog, Splunk
Responsibilities
Design and deploy end-to-end AI agent workflows for business processes; Build and operationalize RAG pipelines with document ingestion and retrieval optimization; Develop prompt engineering frameworks with evaluation harnesses; Implement Python-based integrations and automation for enterprise platforms; Build Salesforce automation workflows and AI-embedded copilots; Ensure high system availability and robust monitoring for production AI pipelines
Seniority
Senior, hands-on IC