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AI Systems Engineer

Humera Technologies — United States · Posted ~2 hours ago

Mid

Skills

AI agent development Agentic workflows LLM systems Automation API integration Database integration End-to-end project ownership Client-facing communication LangChain LangGraph CrewAI LLMs APIs Databases Webhooks Make n8n Zapier

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Summary ✨ AI‑Generated

An engineering role focused on building production-grade AI agents, multi-step automation workflows, and LLM-powered systems for enterprise clients. You will translate business needs into technical solutions and own projects from scoping and architecture through implementation, deployment, and iteration. Experience with agent frameworks, APIs, databases, webhooks, and automation platforms is valuable.

Highlights

Own AI projects end-to-end in a small, high-output environment, working directly with enterprise clients across multiple industries. The role offers hands-on ownership spanning architecture, implementation, deployment, and iteration.

Description

Node Solutions is an AI and automation consulting firm helping enterprise clients design and deploy intelligent systems that drive real operational impact. We move fast, work lean, and build things that actually get used. You'll be a core part of a small, high-output team working across multiple client environments. The Role We're looking for an engineer who builds- not just configures. You'll design and implement AI agents, multi-step automation workflows, and LLM-powered systems for enterprise clients across industries. You'll own projects end-to-end: scoping, architecting, building, deploying, and iterating. What You'll Do Design and build AI agents and agentic workflows using frameworks like LangChain, LangGraph, CrewAI, or similarDevelop automation pipelines integrating LLMs with APIs, databases, webhooks, and third-party platforms (Make, n8n, Zapier, etc.)Work directly with clients (or alongside our account team) to translate business problems into technical solutionsPrompt engineer and fine-tune LLM behavior for production use casesDeploy and monitor systems in cloud environments (AWS, GCP, or Azure)Document solutions clearly for client handoff and internal reuseWhat We're Looking For 2–5+ years of software engineering experienceHands-on experience building with LLMs (OpenAI, Anthropic, etc.) in production — not just side projectsStrong Python skills; TypeScript/Node a plusExperience with at least one agentic framework and one automation platformAbility to work independently across multiple projects without heavy oversightStrong communicator — you'll interact with non-technical stakeholders