AI Agent Engineer @ Remote work

AI Agent Developer | 100% RemoteRole: Contract-to-Hire (Only GC and USC)Duration: 12 Months+Location: 100% RemoteLegal: No sponsorship provided at this time.We are seeking a seasoned AI Agent Developer to bridge the gap between enterprise data and actionable automation. You will be responsible for architecting and deploying sophisticated AI agents across Glean and Slack, transforming complex enterprise workflows (IT, HR, Manufacturing, Supply Chain) into seamless, conversational experiences.This isn't just about chatbots; it’s about building multi-step, reasoning-capable agents that interact with the core systems of a modern business.An AI Agent Engineer to design, build, and deploy intelligent AI agents that automate workflows, interact with enterprise data, and support decision-making. The ideal candidate will have experience with LLMs, agent orchestration frameworks, APIs, vector databases, and data engineering.The role involves developing AI systems capable of reasoning, tool usage, memory management, retrieval-augmented generation (RAG), and workflow automation across business applications.Key Responsibilities:Core ResponsibilitiesDesign and build Glean agents utilizing conversational flows, task automation, and advanced RAG (Retrieval-Augmented Generation) patterns.Develop robust Slack agents using the Bolt framework, Slack workflows, functions, events, and complex API integrations.Translate departmental needs (e.g., Jira ticketing, Workday onboarding, Salesforce updates) into operational AI agents.Create reusable agent boilerplates that support multi-step reasoning and tool-calling capabilities.Ensure all agentic workflows adhere to strict enterprise governance, logging, and security protocols.AI Agent DevelopmentDesign and develop autonomous and semi-autonomous AI agentsBuild multi-agent systems for task orchestrationIntegrate LLMs into enterprise applicationsCreate conversational AI and workflow agentsImplement agent memory, planning, and reasoning capabilitiesData Integration & RAGConnect AI agents to structured and unstructured data sourcesBuild Retrieval-Augmented Generation (RAG) pipelinesDevelop document ingestion and embedding workflowsWork with vector databases and semantic search systemsEnsure data quality, governance, and secure accessAutomation & ToolingIntegrate APIs, SaaS tools, and databasesBuild AI-powered workflow automation systemsDevelop tool-calling and function-calling architecturesAutomate business processes using AI agentsModel & InfrastructureFine-tune and evaluate LLM performanceOptimize prompts and inference pipelinesDeploy AI services in cloud or on-prem infrastructureMonitor latency, reliability, and agent performanceRequired SkillsCore AI/LLM SkillsStrong understanding of LLMs and generative AIPrompt engineering and agent orchestrationRAG architecture and semantic retrievalFunction calling and tool usageMulti-agent frameworksProgrammingPython (preferred)JavaScript/TypeScript (optional)API development and integrationSQL and database queryingTechnical Requirements5+ years of experience specifically focused on building AI Agents and LLM-powered applications.Platform Expertise: Glean experience is highly preferred.Strong engineering background in Python, Node.js, or TypeScript.Mastery of LLM orchestration frameworks like LangChain, LangGraph, or equivalent toolsets.Proven track record of integrating with enterprise-grade APIs:HR/IT: Workday, ServiceNowCRM/Ops: Salesforce, JiraSupply Chain: Custom ERP/MFG interfaces