Artificial Intelligence Engineer

Company Details

FlexAI is a Paris-based AI infrastructure company revolutionizing how artificial intelligence workloads are built, deployed, and scaled. Founded by industry veterans from Apple, NVIDIA, Intel, and Tesla, FlexAI aims to eliminate the infrastructure challenges faced by AI teams, allowing them to focus on innovation instead of managing compute resources.

The company provides a Workload-as-a-Service (WaaS) platform that enables seamless deployment and scaling of AI workloads across any cloud, any architecture, and any hardware . By abstracting away the complexity of infrastructure, FlexAI ensures faster job launches, higher GPU utilization (90%+), and significant cost savings compared to traditional cloud setups.

With its heterogeneous compute orchestration layer , FlexAI empowers teams to train, fine-tune, and run models without worrying about compatibility or vendor lock-in. The platform delivers enterprise-grade performance with the flexibility to move workloads between providers and hardware effortlessly.

Backed by $30 million in seed funding from leading investors like Alpha Intelligence Capital, Elaia Partners, and Heartcore Capital, FlexAI is rapidly building the foundation for the next generation of universal AI compute.

In a world where AI innovation often outpaces infrastructure capability, FlexAI bridges the gap — offering a unified, scalable, and efficient way to power the future of artificial intelligence.

Job Roles & Responsibilities

You’ll own customer enablement and first-line success/support for new and existing users. You’ll be the dedicated point of contact during onboarding, map workloads to FlexAI capabilities, keep comms crisp, and escalate what matters—while also improving our docs, processes, and training. If you love helping customers succeed and enjoy rolling up your sleeves technically, this role is for you!

What you’ll do:

• Run demos: Support demos and technical deep dives.
• Enable & onboard: Proactively guide new users from “hello” to “first successful run,” acting as their dedicated Point of Contact.
• Map workloads → FlexAI: Understand customer use cases and recommend the right paths (training, fine-tuning, inference, data flows); request product evolutions when gaps exist.
• Communicate clearly & proactively: Own customer updates, status, and expectations—no surprises.
• Support first line: Triage issues, reproduce on the FlexAI platform, resolve or escalate with crisp tickets and logs.
• Collect & prioritize feedback: Turn customer signals into actionable tickets and feature requests; partner with Product to shape the roadmap.
• Docs & learning: In collaboration with the Developer Advocate, maintain how-tos, tutorials, technical blueprints, and knowledge base; create adoption guides and technical blueprints.

What you’ll need to be successful:

• Customer-first mindset with strong ownership and follow-through.
• Startup & agile mindset: You thrive in fast-changing environments, stay hands-on, and if something isn’t possible, you find a creative workaround to make it happen.
• Clear & Positive communicator who writes sharp updates and explains complex topics simply.
• Hands-on problem solver who can reproduce issues and suggest pragmatic fixes.
• Bias to action in a fast-moving, startup environment.

KPIs you'll drive:

• Onboard customers at the speed of light — shorten time-to-first-success.
• Transform sign-ups into success stories — maximize SQL → Opportunity → Won conversions.
• Turn onboarding into delightful experiences — delight users from day one.
• Be the bridge from demo to “can’t-live-without” — accelerate time-to-value.
• Make friction disappear — slash onboarding cycle times.
• Build champions, not just users — ensure activated accounts become reference customers.
• Translate technical excellence into business wins — help Sales close faster.
• Drive usage momentum — ensure every new customer ramps quickly to meaningful workloads.

Ideal candidate profile

What you bring:

• Software engineering background with Prior experience in a customer-facing role (Customer Success Engineer, Support Engineer, TAM, or Solutions Engineer).
• Coding skills (e.g., Python, Bash) and ability to evaluate technical complexity of feature requests.
• Ideally previous experience with AI/ML programming & debugging
• Comfort with AI infra environment (Containers, GPU, Runtimes) ; able to debug and craft minimal repros.
• Familiarity with ticketing and knowledge base tools (e.g., Jira/Zendesk + Notion/Confluence).

What we offer:

• A competitive salary and benefits package, tailored to recognize your dedication and contributions.
• The opportunity to collaborate with leading experts in AI and cloud computing, learning from the best and the brightest, fostering continuous growth.
• An environment that values innovation, collaboration, and mutual respect.
• Support for personal and professional development, empowering you with the tools and resources to elevate your skills and leave a lasting impact.
• A pivotal role in the AI revolution, shaping the technologies that power the innovations of tomorrow.