Senior AI/ML Engineer - Remote

๐Ÿข Kubbly ยท all Kubbly jobs
๐Ÿ“ Argentina,Austria,Belarus,Belgium,Bolivia,Brazil,Bulgaria,Chile,Colombia,Croatia,Czechia,Denmark,Ecuador,Estonia,Finland,France,Germany,Greece,Hungary,Iceland,Ireland,Italy,Latvia,Lithuania,Luxembourg,Netherlands,Norway,Paraguay,Peru,Poland,Portugal,Romania,Russian Federation,Serbia,Slovakia,Spain,Sweden,Switzerland,Ukraine,United Kingdom,Uruguay,Venezuela
๐Ÿ’ฐ USD 50,000 - 95,000 / annual
๐Ÿ“… Posted 2026-06-28 ยท via Himalayas
๐Ÿท Senior-ML-Engineer,AI-Engineer,Machine-Learning-Engineer,LLM-Engineer,AI-ML-Engineer,Senior-AI-ML-Engineer,Remote-Machine-Learning-Engineer,Remote-AI-Engineer,Senior-AI-Engineer
Apply on original site โ†—

Why Kubbly

At Kubbly , we're changing how businesses actually talk to their customers. We built a predictive AI platform that lets brands have real conversations with people through email, text, and WhatsApp. Our system figures out what each person will probably want next and knows when they're most likely to care. We're not sending marketing spam, instead we're starting actual conversations. People can even finish their orders right there in the chat, which we still think is pretty wild.

We need someone who can help us scale this whole personalized engagement. If you have a knack for building systems that can predict what people want and actually care whether conversations feel real or like talking to a bot, you'll fit right in. You'd be joining at that perfect stage: proven enough that we know it works, early enough that you'll shape how it grows.
Reasons to join us:

-
The founders actually built similar stuff before. Piyush and Giorgos have previous experience building similar startups, licensing technologies to Fortune 1000 companies, and 10+ years experience building ML and recommendation systems at Amazon and Goldman Sachs.

-
We're backed by Bek Ventures (formerly Earlybird Digital East) . They backed UiPath and Payhawk before they were cool. They're founder friendly, provide immense value to their portfolio companies and don't micromanage.

-
You'll own the full pipeline, not tickets. Your code won't go through 5 layers of review. You'll have major role in deciding what to be built, how something should work, build it, ship it, and see customers use it.

-
We actually talk about technical problems. Weekly tech talks, paper discussions, post-mortems on interesting bugs. The founders are engineers first - they'll geek out with you about implementation details.

- Competitive comp + equity.

๐Ÿš€ About the role

At Kubbly , we believe AI will really change the way customer engagement works. We believe getting to know your customer is a right that not only large businesses or third-party marketplaces can afford. Everyone from medium- to small businesses to solopreneurs should be able to get to know their customers and create engaging ways to interact with them. As Senior ML Engineer youโ€™ll be responsible for building the agentic systems and tools that would enable businesses to drive customer engagement and enable two-way conversation. You will work alongside the founding team to drive the product roadmap, develop new features and scale the platform. You will be product- and customer-obsessed. This is a great opportunity to play a key role in the design and development of product directly used by businesses to drive customer engagement.

Our philosophy: We operate on high conviction, low ego. We value passionate, data-driven ideas. We debate vigorously to find the best solution, but then align as a team to execute.

โœ… What Youโ€™ll Do

-
This is a Senior role - You get to work independently, be an owner and help shape the vision and product roadmap.

-
Own the production performance of AI features, including latency, cost, reliability, and model behavior monitoring.

-
Architect, prototype and deploy LLM-based solutions that would expand our customer engagement engine or customer two-way communication product.

-
Stay on top of the latest developments in AI and dev tooling and find tangible ways to introduce them to our daily work.

-
Define and own evaluation frameworks, offline benchmarks, and production metrics to measure the quality and business impact of AI systems.

-
Build feedback loops, datasets, and human-in-the-loop workflows that continuously improve model and agent performance.

-
Run A/B tests and user experiments to validate hypotheses.

-
Partner with founders and fellow engineers to architect and build scalable AI solutions.

-
Create and maintain clear documentation while adhering to code best practices (git, PRs).

-
Mentor and provide guidance to the team, helping them grow their e

โ† All remote jobs