Senior GenAI Engineer

About CookUnity:

Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you’ve found the right job posting.

The Role:

We've put AI agents in front of CookUnity members. Our AI Nutritionist talks to people, reasons over our menu and their goals, and takes real actions on their behalf, like building a cart for the week. It runs in production today, and it's the first of several agents we plan to ship.

We're hiring a Senior AI Engineer to own the technical direction of the platform underneath those agents: the runtime, tools, memory, guardrails, evaluation, and observability they all rely on.

This is a hands-on role, not an oversight one. You'll build agents the whole way through, from a rough prototype to the production runtime serving members to the Terraform that deploys it. You'll also be thinking a few agents ahead, taking the parts that work and turning them into reusable building blocks so the team stops rewriting the hard stuff every time.

We care about your judgment with LLMs and agents much more than any framework on your CV. Frameworks come and go. The hard parts (grounding, tool design, memory, safety, evaluation, cost, latency) stay.

Responsibilities:

Own agents end to end. Take a feature from prototype to production: orchestrator and sub-agent design, the tools the agent calls, system prompts, memory, and the response contract the frontend renders from. You write the code that ships.

Own the agent runtime. Design the production runtime to stay fast on the member-facing path and easy to debug when something breaks. That covers multi-agent orchestration, real tool execution through a secure gateway, short- and long-term memory, and session state. Today that runs on Amazon Bedrock AgentCore and Strands; you'll have a strong say in where it goes next.

Make the tools trustworthy. Build the tool layer agents depend on, like search grounded in our real catalog, retrieval and reranking, and cart and account actions. Keep credentials and member identity out of anything the model can control.

Own safety. Build the layered safety model: input and output guardrails, intent and clarification handling, refusals, and PII boundaries. Decide what gets hard-enforced and what the agent handles in its own reasoning. Nutrition advice raises the stakes here, so this matters.

Make quality measurable. Push our evaluation work forward: structured checks plus LLM-as-judge, with a review queue for the cases the judges disagree on. If we can't measure whether a prompt, model, or tool change helped, we don't ship it.

Instrument it. Make agents debuggable in production with per-session and per-turn timelines, tool and guardrail traces, and token and cost visibility. When an answer looks wrong, someone should be able to see why in minutes.

Turn it into a platform. Take the patterns that work and make them reusable, so the next agent and the next engineer inherit the runtime conventions, the eval scaffolding, and the guardrail defaults instead of starting over.

Make the team better. Set technical direction across the agent codebases and infra, and keep design and code review sharp. Help product and data partners work out when an agent is the right answer, and when it isn't.

What Success Looks Like:

The agents in front of members get measurably better, more grounded and safer at a lower cost per turn, and we can show it in the evals instead of arguing about it.

Shipping a new agent capability costs a fraction of what it used to, because the runtime, memory, guardrail, and eval patterns are reusable.

Quality and safety regressions get caught in evaluation and observability before members feel them.

Other engineers reach for your patterns by default and get better from how you review and design.

Minimum Requirements:

Real production experience building with LLMs and agents. This is the one hard requirement.

Good judgment on the hard parts: grounding and retrieval, tool and context design, memory, cost and latency, safety, and how to tell whether any of it is working.

You can look at one working agent and see the reusable pattern in it, and you know when not to over-engineer.

Strong Python, plus enough range across APIs, cloud, and infrastructure-as-code to own a feature from the model call down to the deploy.

A track record of setting technical direction and making the engineers around you better.

You can move between a hard orchestration bug and a plain-language explanation of the trade-offs for a non-technical stakeholder.

Preferred Requirements:

Agent frameworks and orchestration and managed agent runtimes.

Retrieval and RAG, hybrid search and reranking, and tool calling against real services.

Hands-on evaluation work (LLM-as-judge, golden sets, regression harnesses), and opinions about where they fall short.

LLM observability and cost/latency tuning in production (tracing, prompt caching, token economics).

Infrastructure-as-code (Terraform) and owning the cloud footprint your agents run on (AWS, Bedrock).

Time at a DTC subscription company, marketplace, or operations-heavy, growth-stage business.

Technologies You'll Use:

This is the environment you'll work in when you join. It's here so you know what your week looks like, not as a checklist of requirements. We expect strong engineers to ramp into the parts they haven't used, and to help us change what needs changing.

Languages: Python primarily, TypeScript around the edges.

Agents & orchestration: Strands multi-agent orchestration on Amazon Bedrock AgentCore, with tools exposed through a managed MCP gateway backed by Lambda and OpenAPI targets.

Observability: Datadog LLM Observability, structured session and turn logging, prompt-cache and token instrumentation.

Infrastructure: Terraform-managed AWS (Bedrock AgentCore runtime, gateway, IAM, memory, guardrails), GitHub Actions CI/CD.

Collaboration: Slack, Notion, Jira, Google Workspace.

Benefits:

💸 Get paid in USD.

🗺 Work remotely: design the life that you want.

⛱ Enjoy 15 days of vacation each year from the start date.

🎄 16 fully paid Argentinean holidays.

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider.

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical.

🐣 Paid family leave.

🕯 Compassionate Leave: 3-5 days each time the need arises.

🧘🏽‍♀️ Flexible benefits, your way: a prepaid card you can use on wellness, learning, food, and more.

🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

🧑‍🏫 Personalized English coach.

  If you’re interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you.  Thank you for your time!

CookUnity is an Equal Opportunity Employer . We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

A quick note for all candidates We’ve recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data)  stay safe while applying to CookUnity.  We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief  “proof of humanity” to confirm that we’re connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us:

Apply only through our official channels. All open roles are listed on our official careers page:  careers.cookunity.com

Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you’re unsure, feel free to reach out to us on our official  LinkedIn Company Page .

We only communicate through official CookUnity channels. That means emails ending in  @cookunity.com  and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

We’ll never ask for payment or personal financial details. If anyone does, please don’t share any information and let us know right away.

If something ever feels off or you’re unsure about a message, we’d much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.