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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI Systems Engineer - **Company:** Traction Ag, Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $170,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, JIRA, Audit Trail, Software as a Service, Customer Data Management, Information Engineering, Identity and Access Management, Python (Programming Language), Knowledge-Based Systems, Machine Learning, Automation of Marketing, Node.Js, Open Source Technology, Search Technologies, Software Engineering, Systems Integration, TypeScript, Workflow Management Systems, AI Infrastructure, Data Logging, Data Processing, Multi-Agent Systems, Prompt Engineering, IT Architecture, AngularJS, Slack, Atlassian Tools, Figma, Machine Learning Operations, Gsuite, Hubspot, Webhooks, Software Version Control, Data Pipelines, Automation Anywhere - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8c86484b8d895eda ## About the Role Do you have experience in Workflow management (operations management method)?, * 7+ years in software engineering, data engineering, or platform/infrastructure roles, with at least 2 years focused on AI/ML systems or AI-powered tooling * Demonstrated track record designing and implementing AI-powered retrieval systems, knowledge architectures, and workflow orchestration patterns in production environments. * Proficiency in Python, Node, Angular, and TypeScript; comfortable working across the stack from data pipelines to lightweight front-end interfaces * Proven ability to build integrations across SaaS tools using APIs, webhooks, and automation platforms * Strong understanding of context engineering: designing retrieval strategies, memory systems, and information architectures that make AI outputs reliable and high-quality * Excellent communication: you can translate between technical architecture and business outcomes, and you can teach complex concepts to non-technical colleagues * Comfortable operating autonomously, prioritizing ambiguous problems, and making pragmatic technical tradeoffs. Nice to Have * Familiarity with structured operating systems for scaling companies * Background in ag-tech, fintech, or B2B SaaS * Experience building internal developer platforms, plugin systems, or self-service tooling for non-engineers * Contributions to open-source AI tooling or a portfolio of internal tools you have built and shipped * Experience with our stack: Atlassian, Notion (including the API), HubSpot, Slack, Jira, Figma, Google Workspace, Canva ## Description Traction Ag helps farmers simplify the business of farming through cloud-based software that brings together farm financials and operations. We're hiring a Director of Marketing to lead and scale a modern B2B SaaS marketing engine focused on pipeline growth, brand positioning, and revenue impact. In this role, you will operate as a cross-functional technical leader partnering closely with the COO and engineering leadership. You will help define the company's AI architecture, tooling standards, and governance practices. Core Priorities * Build a secure internal AI data and retrieval layer * Establish governance and safe AI usage patterns * Ship high-leverage internal workflows and automations * Enable responsible AI adoption across the company * Create scalable foundations for future agentic systems What the role is not: * An AI research role * A pure ML modeling role * A prompt engineering role * A people management role * A speculative innovation lab What You Will Build The Operating Layer Our internal AI operating layer. A secure internal AI layer that connects company knowledge systems and makes institutional context searchable, usable, and operational. * Building AI-powered retrieval and synthesis workflows across Slack, CRM, Google, docs, project management, and meeting transcripts so teams can access institutional knowledge and historical context in seconds * Creating scalable systems for meeting capture, decision logging, onboarding, SOP generation, and cross-functional communication * Implementing RAG pipelines, vector search, embeddings, and AI orchestration frameworks that power the entire internal AI toolkit * Reducing knowledge silos, duplicated work, and dependency on tribal knowledge by making information flow to where it is needed, when it is needed The Internal AI Workflow Platform A centralized library of reusable AI-powered workflows, automations, and internal tools employees can safely use without exposing sensitive company or customer data. * Curated, tested AI workflows for each department that non-technical team members can invoke without prompt engineering from scratch * Version control, access governance, and audit trails so the organization can scale AI usage without sacrificing security or consistency * A framework that lets team members go from idea to prototype to production-ready workflow, with guardrails that keep outputs safe and on-brand Operational Intelligence * Automations and agents that transform raw information into actionable insights, summaries, tasks, and operational reporting * Tools that make operational metrics, goal tracking, and leadership reporting more accessible, more actionable, and harder to ignore * Governance, security, and data quality standards for every internal AI system Security & Governance * Define safe AI usage standards across the organization * Establish data handling and model access policies aligned with security requirements * Evaluate AI vendors, infrastructure, and deployment patterns for security and scalability * Design human-in-the-loop workflows, auditability, and operational safeguards * Ensure customer financial data is protected across all AI systems, * Initial secure AI retrieval architecture is operational against at least one core company data source * Foundational AI infrastructure, governance standards, and approved tooling patterns are established * At least two vetted internal AI workflows are published and actively used Quick Wins - First 90 Days * Three to five automations are shipped and saving measurable time across multiple departments * At least one cross-functional AI workflow is operational and adopted by non-technical teams * A prioritized six-month roadmap for AI infrastructure, workflow automation, and governance is delivered to leadership Organizational Trust * You have established strong working relationships across department leadership * The organization trusts the systems, guardrails, and architectural direction being established * The company has begun moving from fragmented AI experimentation toward secure, production-oriented AI adoption ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Boost Productivity with AI: Figma & Playwright MCP Workflows - Aris Markogiannakis](https://www.wearedevelopers.com/videos/1768-boost-productivity-with-ai-figma-playwright-mcp-workflows-aris-markogiannakis) - [Stack Overflow: Community and AI](https://www.wearedevelopers.com/videos/600-stack-overflow-community-and-ai) - [Developer Experience in the Age of AI](https://www.wearedevelopers.com/videos/1118-developer-experience-in-the-age-of-ai) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try)