Senior AI Engineer

This role is part of our Central AI Team at saas.group.

Think of us as the driving catalyst behind your favorite software success stories. saas.group, established in 2017, is on a mission to turbocharge promising B2B SaaS ventures, unlocking their full potential. As a Software-as-a-Service portfolio powerhouse, we specialize in acquiring small software treasures and polishing them into industry stars. With a dynamic, fully remote team of nearly 350+ colleagues spanning 50+ countries we are truly global and we are rewriting the playbook on SaaS innovation and collaboration. We grow 21 exciting brands under our umbrella. Feel free to explore our Candidate's Hub to get an insider's view, dive into our culture, gain valuable insights into our teams and how we work.

Also, don’t forget to follow saas.group on LinkedIn to stay up-to-date on our job openings, podcast episodes, and with all things happening at our company.

Join saas.group as a Senior AI Engineer to design, evaluate, and ship AI that powers products used by hundreds of thousands of users across our portfolio. This is an end-to-end role: you will collaborate with product and brand teams to translate user needs and data into solution designs, plan and run experiments with clear success metrics, and deliver reliable systems to production with support from our DevOps engineers.

You will work across conventional ML and modern GenAI/LLMs, selecting the right approach for each problem while caring deeply about data quality, rigorous evaluation, and responsible use. Beyond individual projects, you will help build reusable AI capabilities - services, libraries, and patterns - that scale across brands and accelerate future work.

If you thrive on owning outcomes from idea to production, enjoy turning complex challenges into pragmatic solutions, and want your work to drive AI solutions at scale across diverse SaaS products, this role is for you.

Your immediate impact in the first 3 months will be:

• Ship a real feature - scope with product partners, prototype quickly, run tight evaluations, and deliver at least one production AI solution for a brand, partnering with our DevOps team for deployment.
• Make it repeatable - extract a reusable template from that project - service skeleton, simple data pipelines, eval harness, prompt and model versioning - so the next build is faster.
• Tell the story - create an internal case study and demo - problem, approach, results, lessons - to inspire and educate teams across saas.group on the power of AI.

• Deliver end-to-end AI solutions - from exploring opportunities, to designing architectures, running experiments, and supporting deployment with DevOps engineers.
• Build production-grade software in Python (APIs, mostly FastAPI) and develop simple data pipelines that make AI solutions reliable and scalable in production.
• Work across GenAI and conventional ML - choosing the right methods for each problem, ensuring solutions are well-evaluated, pragmatic, and impactful.
• Develop reusable AI capabilities - services, libraries, and best practices that scale across multiple brands and accelerate future development.
• Collaborate closely with AI teammates - sharing knowledge, reviewing code, and mentoring junior colleagues to raise the overall level of the team.
• Prototype and validate ideas quickly - creating POCs that explore new approaches, which the team can then harden for long-term use.
• Uphold quality and best practices - writing clean, well-documented code and ensuring peer reviews maintain high engineering standards.

• Proven end-to-end delivery - you have shipped AI features to production and owned the lifecycle from problem framing to post-launch iteration.
• Strong Python engineering - 5+ years building production software, with APIs (mostly FastAPI), testing, documentation, and code reviews.
• Applied AI expertise - hands-on with conventional ML and GenAI/LLMs; experience integrating multiple LLM providers, working with vector databases, and using frameworks like LangChain.
• Data & evaluation competence - solid SQL skills, ability to build simple pipelines, define success metrics, design experiments, and make decisions from results.
• Production readiness - Docker fluency, CI/CD awareness, logging and monitoring basics, and good habits for versioning prompts, models, and datasets.
• Collaboration and leadership in practice - clear communication with stakeholders, thoughtful documentation, and willingness to mentor junior colleagues.
  

• Ultimate flexibility: We’re 100% remote. You can work from wherever you like, whenever you like.
• Freedom and autonomy: We’re a high-trust team, and you’ll be given lots of flexibility to solve problems in your own way — with plenty of help from the team when you need it.
• Minimum bureaucracy: We don’t like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady & sustainable.
• Small & friendly team: We help each other out, have fun, and joke around.
• Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning  and expertise with each other internally. 
• Flexible time off: We want you to recharge your batteries when needed.

We don’t just simply offer you to “take a job with us” but rather to “join us on this journey” to build the world's largest platform of independent SaaS companies. 

Sounds like something you’re up for? Feel free to apply even if you don’t check all these boxes. We believe in the power of diversity and fresh perspectives to spice up our team. Your application might just be the missing ingredient!