AI Engineer

WebPros is committed to empowering businesses worldwide through cutting-edge solutions in web hosting, billing automation, infrastructure, server management, and online marketing. Since our founding in 2017, we’ve rapidly grown into a global leader, expanding our robust portfolio to include industry-defining brands such as cPanel & WHM, Plesk, WHMCS, SolusVM, XOVI, SocialBee, Sitejet and Comet Backup. Today, we power 85 million+ websites across 900,000+ servers worldwide, backed by a 650+ strong team of dedicated professionals spanning multiple continents. At WebPros, we embrace a fully remote, borderless workplace with a focus on flexibility, autonomy, and work-life balance.

Your Role

Hi, I'm Deniz Okcu, Engineering Manager at WebPros, and your future manager. I run the engineering teams behind our growth products, the tools small businesses and agencies use to get found online. RIVA is our answer to it. It looks at a business the way a language model would, works out how the model understands and describes it, then tells the customer what to change. It ships alongside XOVI's established SEO suite, so there are real customers on the other side of what you build rather than a prototype hunting for a market.

For the role:

• You would own the engine: the analysis algorithms, the retrieval, the evaluation harness, and the agents that turn a finding into an applied fix.
• Proving it is correct is the hard part, because the ground truth shifts every time a model is updated.
• If you've ever been irritated by AI tools that sound confident and can't show their work, this is the job where you get to fix that.

Key Responsibilities

• You own the analysis engine. The attributes and scoring rules that decide whether a model can understand a business are the core of the product.
• The evaluation framework. Ground-truth sets, metrics, and regression detection.
• Retrieval. Getting text out of real websites, deciding how to chunk it, picking an embedding model.
• The agentic architecture. You'd work out which fits and say why in terms of cost and latency.
• Model selection and cost per run. Benchmarking frontier models against open-weight ones.
• Guardrails and observability. Validating what goes in and what comes out.
• Turning research into production code.

Your Qualifications

Must-haves

• Production Python. It's our stack and you'll be in it daily, alongside FastAPI, PostgreSQL and pytest.
• You've used the LLM SDKs directly rather than only through a wrapper.
• You've built retrieval that runs in production.
• You've evaluated an LLM system properly.
• You understand model behaviour well enough to be sceptical of it.
• Prompt, context and harness engineering.
• You've designed agentic systems and can say why you picked that architecture over the ones you didn't.
• You've kept one running in production.
• You know how these systems fail adversarially.

Nice-to-haves

• Familiarity with SEO, generative engine optimisation (GEO), or search-visibility products.
• Classical NLP: classification, named entity recognition, sentiment analysis.
• WordPress, CMS integrations, schema.org, or llms.txt.
• Crawling and extraction at scale.
• AI governance and risk management practice.

Your Impact In The First 120 Days

• 30 Days — Learn & Integrate: Get set up, get into the RIVA codebase, and follow one analysis end to end.
• 60 Days — Contribute & Collaborate: Deliver a first working evaluation harness with a ground-truth set.
• 90 Days — Take Ownership: Ship a RAG pipeline that produces grounded, content-specific suggestions.
• 120 Days — Drive Growth: Set how we validate algorithm changes.

You Might Thrive Here If You

• You're comfortable being the person who decides what "correct" means.
• You'd rather test an assumption than inherit one.
• You work well remote and async.
• You care more about whether the output is true than whether the code was elegant.
• You explain your reasoning without being asked to.

You Might Struggle Here If You

• You want a spec and a definition of done handed to you.
• Shifting priorities wear you down.
• You'd rather implement a decision than be in the room making it.
• You don't enjoy having your conclusions challenged.
• You need people in a room to do your best thinking.

How We Work

• Team & Workflow: Remote and asynchronous, across several European time zones.
• Collaboration & Ownership: Self-managed work, with a strong emphasis on being autonomous and proactive.
• Tech Stack & Tools: Python 3.12, FastAPI, PostgreSQL, LangChain with the OpenAI and Anthropic SDKs.
• Testing & Quality: Code review as standard, plus evaluation-driven development.
• Releases: Things go out as they're ready.

Our Culture

WebPros is built on diversity, not just in principle but by design. We are a fully remote, async-friendly company where transparency, open communication, and collaborative problem-solving define how we work.

Compensation & Benefits

• Competitive salary
• Remote-first flexibility: Work from anywhere in Europe.
• Development Budget: Annual personal growth allowance.
• Learning Support: Udemy subscription & peer learning.
• Paid Time Off: 20+ days of annual leave.

Your Hiring Experience

Hi, I am Zornitsa your Talent Partner at WebPros. I’ll guide you through the interview process, ensuring a clear, transparent, and meaningful experience.

Our Commitment to a Diverse & Inclusive Culture

At WebPros, we want every team member to feel excited to bring their full, authentic self to work. We are committed to ensuring equitable opportunities, pay, and support for all employees.