AI Engineer at MarvelX AI

Switzerland, Manitoba, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 26

Salary

90000.0

Posted On

23 Sep, 26

Experience

12 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Industry

Information Technology & Services

Description

the real world. The opportunity is massive, and we’re moving fast.

We’re looking for a AI Engineer to help us push the boundaries of what’s possible with AI in production. Someone who thrives at the intersection of cutting-edge research and shipping real products. Someone who can turn ideas into working systems, fast. You’ll work directly with the founders and tech lead to design, build, and deploy AI agents that solve mission-critical problems for our clients.

This isn’t a typical engineering role. It’s an early seat on the rocket ship.

If that sounds like your kind of challenge, let’s talk.

Mission

As a founding AI Engineer, you’ll be at the core of MarvelX’s product and tech evolution. You’ll take ownership of designing and building agentic systems that can handle high-stakes, high-complexity workflows. You’ll explore the edge of LLMs, reasoning engines, and orchestration frameworks, and bring them to life in production environments where reliability, compliance, and explainability matter.

What you'll be doing

Build and deploy AI agents that handle real-world workflows in insurance, banking and other financial services domains.
Experiment with LLMs, retrieval-augmented generation (RAG), tool-use, and multi-agent orchestration to push performance.
Design pipelines that ensure explainability, traceability, and auditability for every decision the AI makes.
Own client delivery, directly. Today every new client is its own small project: you scope the integration, sit in the calls, run the demo, and ship their deployment. You talk to clients yourself, not through a layer, and steadily turn that per-client work into a self-serve platform.
Do whatever the outcome needs. Backend, frontend, infra, glue. You own the product a client gets, not just the AI part of it.
Optimize models and systems for production: latency, accuracy, scalability, and security.
Stay ahead of the curve: explore new architectures, open-source tools, and research to keep MarvelX at the frontier.

What you'll need

4–6 years of hands-on experience building AI/ML systems (startups, scale-ups, or research labs).
Strong in Python and the modern LLM/agent stack (model APIs, orchestration frameworks, vector DBs, evals).
Experience with LLMs and agentic architectures - you’ve built with them, broken them, and made them better.
Comfortable shipping to production end-to-end across the stack, not only the AI layer: pipelines, integration, deployment.
Client-facing by instinct. You can sit with a client, turn a vague need into scope, and ship it. You own the project, not just the ticket.
Product-minded owner. You reach for whatever the problem needs and care about the user's outcome, not just the model.
Proactive, scrappy, and able to ship fast without compromising on quality.
Excited by solving hard problems where there’s no clear playbook - and you create the playbook.
Bonus: exposure to compliance, fintech, or other regulated domains where explainability is critical.

How To Apply:

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Responsibilities