Automation & Agentic Workflow Engineer (Python • LangGraph • Orchestration)

AI RoundTable Inc. is looking for a senior engineer experienced in building fully automated, agentic systems. You’ll design and implement autonomous workflows that reason, fetch, process, and act, integrating AI agents with databases, APIs, and software systems to automate complex, multi-step tasks. Contract · Fully Remote (US/Canada) What You’ll Build You’ll own the architecture and implementation of automation agents that: • Connect to databases (SQL/NoSQL, vector, graph) and external APIs • Orchestrate multi-agent pipelines (planning → retrieval → reasoning → action → report) • Perform real-world automations — sending emails, updating systems, filing data, or triggering workflows • Handle state, scheduling, retries, and error recovery in a production context • Integrate with LangGraph, LangChain, or custom orchestrators for event-driven control • Include observability, evaluation, and auto-scaling support for reliability You’ll collaborate directly with me to define specs and success metrics. But you’ll own design, implementation, and testing end-to-end. Core Skills & Experience Required • Strong Python background (3+ years, production-grade systems) • Proven experience building agentic or automation workflows (LangGraph, LangChain, CrewAI, or custom orchestration) • Expertise in connecting to external systems (REST, GraphQL, SDKs, webhooks, email, CRMs, etc.) • Experience with RAG + tool use + structured memory/state handling • Knowledge of vector stores, SQL, NoSQL, and/or Neo4j • Familiarity with async, job queues, and scheduling systems • Understanding of LLM orchestration principles: state machines, retries, planning/acting loops • Experience with deployment (Docker, CI/CD, AWS, Azure, or GCP) • Ability to write modular, testable, production-ready code • Strong debugging, observability, and system-thinking mindset • Knowledge of function calling, JSON schema enforcement, or structured prompting Bonus • Built multi-agent systems with autonomous planning or parallel execution • Experience with LangSmith, OpenTelemetry, or tracing/monitoring tools • Knowledge of function calling, JSON schema enforcement, or structured prompting • Familiarity with tool APIs (Gmail, Notion, Slack, Google Drive, etc.) • DevOps comfort — containers, microservices, and deployments • Prior experience with end-to-end automation (data → LLM → action → reporting loop) Project Scope • Goal: Build core infrastructure for autonomous AI agents that interact with real systems • Timeline: ~10–12 weeks (extendable if collaboration goes well) • Start: November 2025 (flexible) • Hours: Flexible, async-first • Compensation: Competitive — commensurate with seniority and output quality How to Apply Email farzad@tableofai.com with: 1. A short intro or GitHub + resume 1. 2–3 sentences describing the most autonomous or agentic system you’ve built — what it connected to and what it accomplished 1. Optional: architecture diagram or repo link 1. Your location and availability (next 2–3 months)