Senior AI Engineer

About Tabi Connect

Tabi Connect is an industry-leading Rate Management System designed specifically for the logistics and transportation industry. Our patent-pending platform automates the rate-quoting process, enabling logistics companies to quote freight more efficiently, consistently, and intelligently—while capturing valuable data at every step. Built by industry leaders who have sat in our customers’ seats, Tabi Connect transforms deep logistics expertise into scalable, data-driven quoting methodologies. We are redefining how logistics companies operate and helping them unlock the full power of rate automation.

Role Overview and Mission

Help us make Tabi an AI-native company. As our Senior AI Engineer, you will design, build, run, and maintain the AI agents that take manual work out of Tabi's operations (implementations, data, service desk, and more), working AI-first in everything, from gathering requirements to shipping and measuring results.

You will own AI solutions end to end: sit with business teams to understand their needs, decide what an agent should do instead of a person, build it with AI-assisted development, measure its impact in time and money, and keep it running in production. You will also lead the technical design of Mente, Tabi's internal AI platform, and set how the team works with AI every day. You'll be part of the Business Optimization team, reporting to the Director of Business Optimization.

Key Responsibilities

• Work AI-first: use Claude Code and AI agents daily for coding, testing, reviews, documentation, and analysis.
• Gather requirements directly with operations, sales, service desk, finance, and other departments, and turn them into agent designs with clear success metrics.
• Lead the technical design of Mente and the agents, automations, and integrations built on it. • Build agents that act, not just answer: tool use, multi-step workflows, and integrations with Salesforce, Jira, Gong, and our quote data warehouse.
• Maintain Mente, the agents, and bots in production: monitoring, fixes, upgrades, and support.
• Own evaluations, guardrails, and observability so every agent is reliable, auditable, and safe to run unattended.
• Manage model choice, prompts, cost, and latency, adopting new models and capabilities as soon as they pay off.
• Measure the impact of every agent (hours saved, cost, conversion) and report it to leadership.
• Review code, mentor our Junior AI Engineer, and set the team's standards for AI-native development.
• Prototype new AI ideas fast and recommend which ones are worth building.

What We Are Looking For

• Professional degree in software engineering, systems, or a related field, or equivalent work experience.
• 5+ years in software development, including 1+ year building and maintaining LLM-based agents or applications in production.
• Advanced Python.
• LLM and agent development: prompting, tool use, multi-agent workflows, RAG, and evaluations.
• Daily use of the Claude API and Claude Code (or similar AI coding agents) as your main way of working.
• AI observability and operations: monitoring, cost and latency control, model upgrades.
• SQL and data modeling (Redshift/PostgreSQL).
• REST APIs and integrations (Salesforce, Jira, or similar).
• AWS and production deployment.
• Git, automated testing, and code review.
• English: B2 minimum, C1 preferred.

Specific Software knoledge

• Selenium Grid / Selenium WebDriver (RPA bot execution platform)
• Python or other programming languages
• Jira
• AWS (ECS / Fargate, CloudWatch Logs, CLI)
• MongoDB
• Microsoft Offi ce (Excel, Outlook)
• Teams (for internal communication)
• SQL (basic querying)

Who you are

• AI-first: you reach for AI before manual work.
• A strong logical thinker and problem solver who sees the big picture and designs for it.
• Comfortable gathering requirements and managing stakeholders.
• A technical leader and mentor who owns outcomes, not just tasks.
• Curious and self-driven to research and propose new technologies, ideas, and approaches.

Perks

• Indefinite contract
• Benefits (health programs, gym membership, lifestyle)
• Remote/Hybrid work
• Gamification and incentives programs