Agentic AI Engineer

About Envorso Sports

Envorso Sports is building the platform that runs a professional sports team's entire fan-facing business — ticketing, website, mobile app, and eventually commerce, CRM, and marketing — from one system instead of six disconnected vendors.

Today, most teams run a fragmented stack: a website vendor, a ticketing provider, a separate mobile app, CRM tools, marketing automation, and game-day engagement solutions bolted together. That creates a disconnected fan journey and leaves revenue on the table.

Our platform is live today with the Seattle Seawolves of Major League Rugby, with expansion planned across the league and into additional professional sports organizations. Ticketing, website, and mobile app are shipped and in production with a paying customer. CRM, marketing automation, and AI-driven personalization are near-term roadmap, not yet built — we want candidates to know exactly where the product stands before they join.

The Role

We're hiring an Agentic AI Engineer to scale the Envorso sports platform, both as a product capability and as how our engineering team builds.

On the product side, you'll build agents that turn fan and ticketing data into revenue: an agent that flags a stale cart and proposes a win-back offer, or builds a segment a marketer can act on without an analyst in the loop — rather than a dashboard that just reports what happened.

On the engineering side, you'll build our internal agent tooling — guardrails on what coding agents can touch, PR-review agents that check against real specs, and automated checks that keep frontend and backend in sync as API contracts change — and set the standard the rest of the team works against.

Given our stage, this isn't a backend/ML-only role: you'll also ship the front-end surfaces that expose this work, across both our web app (Next.js) and our mobile app, so the agent features you build actually reach fans and marketers rather than living behind an API.

You'll report into product and work daily with our tech lead and engineering team, who are mostly Argentina-based. Expect real overlap-hours collaboration.

What You'll Do

• Design and ship agentic product features: fan scoring, segmentation, and an offers engine that proposes campaigns instead of just reporting on fan behavior
• Build the front-end for these features on both web (Next.js) and mobile, so agent output is something a marketer or fan sees and acts on, not just an API response
• Build and own our internal agent tooling: guardrails, PR-review agents, spec-driven test generation, and agents that keep frontend/backend in sync as contracts change
• Set the standard for model selection, cost, and evaluation across the team, and mentor engineers adopting agentic workflows
• Own agent quality: catch shallow or overfit AI-generated output, define what "good" looks like, and make failures visible instead of silent
• Own the full lifecycle of what you build — design, evaluation, deployment, monitoring, iteration — without an ML platform team to hand off to

What This Role Isn't

Not a research role — we need things that work in production against real fan and ticketing data. Not a role with a fully scoped backlog handed to you each sprint.

How to Apply

Send a brief note covering:

1. An agentic system you've built — what it did, what broke, and what you'd change if you rebuilt it
2. Why this role specifically interests you

Work Authorization: Must be authorized to work in the US. No employer-sponsored visas for this role.

• 3+ years of software engineering experience, with at least 1 year building and shipping AI/LLM-powered applications in production (not a prototype that never left a notebook)
• Real multi-agent design experience: tool use, memory, orchestration — not a single prompt-and-response wrapper
• Some experience leading or mentoring other engineers, even informally
• Strong Python and/or TypeScript, comfortable in a Next.js and API-service codebase
• Full-stack enough to ship a feature end to end — comfortable building the web UI (React/Next.js) and, ideally, mobile UI (React Native or native iOS/Android) that surfaces your own agent work, not just the backend and model layer
• Ability to explain what an agent is doing, where it breaks, and why, to a non-ML engineer or product person
• Comfortable operating with ambiguity — a fair amount of this role is deciding what the right thing to build is, not executing a fully scoped ticket

Strong signals (not requirements): RAG over full documents rather than vector-chunk retrieval only; mutation or property-based testing; a marketing automation or personalization background; commerce or payments data experience (Stripe or similar).

Must be authorized to work in the US. No employer-sponsored visas for this role.

Why Join Envorso Sports

• $145,000 Base + Bonus + Benefits
• Direct exposure to team owners and sports executives, with minimal process between you and the customer
• Real customers and live deployments today, not a pre-revenue pitch
• The chance to shape a category — AI-native fan experience for pro sports — rather than an incremental feature on someone else's platform
• High ownership and visible impact, with room to grow into product leadership as the company scales
• Early influence on engineering practice and culture: what you build now is what the next ten engineers inherit